Relevant bibliographies by topics / Projected image

Academic literature on the topic 'Projected image'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Projected image"

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Choi, Eunbin, Younghyeon Park, and Byeungwoo Jeon. "An Implementation of Drone-Projector: Stabilization of Projected Image." Electronic Imaging 2020, no. 3 (January 26, 2020): 332–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.3.mobmu-331.

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A drone-projector equipped with a beam projector mounted on a drone has been investigated in order to develop a projector which can overcome restriction of place on which an image is projected. For the stability, the drone-projector requires its mass to be centered, and the additional weights related to projector should be within the payload of the drone. In addition to this requirement, the drone-projector should be designed to minimize the distortion of image caused by 3D translations or rotations of a drone during its hovering due to vibration of propellers, or global positioning system (GPS) errors. In this paper, we consider rotation of a droneprojector which makes the projected image tilted, keystoned, and shifted. To overcome this problem, we propose a software-based stabilization method which pre-corrects the image to be projected based on flight information. Our experimental results show that the distortion of the projected image due to rotations of the proposed drone-projector is attenuated by applying our stabilization method.
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Shapiro, Alan. "Images: Real and Virtual, Projected and Perceived, from Kepler to Dechales." Early Science and Medicine 13, no. 3 (2008): 270–312. http://dx.doi.org/10.1163/157338208x285044.

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AbstractIn developing a new theory of vision in Ad Vitellionem paralipomena (1604) Kepler introduced a new optical concept, pictura, which is an image projected on to a screen by a camera obscura. He distinguished this pictura from an imago, the traditional image of medieval optics that existed only in the imagination. By the 1670s a new theory of optical imagery had been developed, and Kepler's pictura and imago became real and virtual images, two aspects of a unified concept of image. The new concept of image developed out of a synthesis of Kepler's determination of the geometrical location of a pictura as the limit, or focus, of refracted pencils of rays and the triangulation used by a single eye to determine the perceived location of an imago. The distinction between real and imaginary images was largely developed by Gilles Personne de Roberval and the Jesuits Francesco Eschinardi and Claude François Milliet Dechales.
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Ferrer-Rosell, Berta, and Estela Marine-Roig. "Projected Versus Perceived Destination Image." Tourism Analysis 25, no. 2 (July 8, 2020): 227–37. http://dx.doi.org/10.3727/108354220x15758301241747.

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Due to the spectacular growth of traveler-generated content (TGC), researchers are using TGC as a source of data to analyze the image of destinations as perceived by tourists. In order to analyze a destination's projected image, researchers typically look to websites from destination marketing or management organizations (DMOs). The objective of this study is to calculate the gap between the projected and perceived images of Barcelona, Catalonia, in 2017, using Gartner's classification and applying compositional analysis. The official online press dossier is used as an induced source, the Lonely Planet guidebook as an autonomous source, and a collection of more than 70,000 online travel reviews hosted on TripAdvisor as an organic source. In addition to quantitative content analysis, this study undertakes two thematic analyses: the masterworks of architect Gaudi recognized as UNESCO WHS as part of the cognitive image component and feeling-related keywords as part of the affective image component. The results reveal strong differences between the induced and organic sources, but much smaller differences between the autonomous and organic sources. These results can be useful for DMOs to optimize promotion and supply.
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Zhang, Hua, Yi Kai Shi, Kui Dong Huang, and Qing Chao Yu. "Image Restoration Method Based on Pre-Filtering for Cone-Beam Computed Tomography." Applied Mechanics and Materials 229-231 (November 2012): 1858–61. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1858.

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For the problem of image quality degradation of cone-beam Computed Tomography (CBCT) based on flat panel detector (FPD), a constrained least squares iteration (CLSI) restoration method based on pre-filtering is proposed. Firstly, the original projected images are denoised with bilateral filtering algorithm. Then, the denoised projected images are restored with CLSI. Finally, the final restored images are obtained by adding the noise images, which got by subtracting the projected images before and after denoising, to the restored images. The experimental results show that the method well inhibits the noise amplification phenomenon in image restoration, and increases the edge sharpness and contrast-to-noise ratio (CNR) of the projected images and slice images. The CBCT image quality is significantly improved with this method.
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Yakno, Marlina, Junita Mohamad-Saleh, Mohd Zamri Ibrahim, and W. N. A. W. Samsudin. "Camera-projector calibration for near infrared imaging system." Bulletin of Electrical Engineering and Informatics 9, no. 1 (February 1, 2020): 160–70. http://dx.doi.org/10.11591/eei.v9i1.1697.

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Advanced biomedical engineering technologies are continuously changing the medical practices to improve medical care for patients. Needle insertion navigation during intravenous catheterization process via Near infrared (NIR) and camera-projector is one solution. However, the central point of the problem is the image captured by camera misaligns with the image projected back on the object of interest. This causes the projected image not to be overlaid perfectly in the real-world. In this paper, a camera-projector calibration method is presented. Polynomial algorithm was used to remove the barrel distortion in captured images. Scaling and translation transformations are used to correct the geometric distortions introduced in the image acquisition process. Discrepancies in the captured and projected images are assessed. The accuracy of the image and the projected image is 90.643%. This indicates the feasibility of the captured approach to eliminate discrepancies in the projection and navigation images.
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Ourmazd, A., P. Schwander, C. Kisielowski, F. H. Baumann, and Y. Kim. "Measuring projected potential, thickness, and composition from lattice images." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 732–33. http://dx.doi.org/10.1017/s0424820100171390.

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Lattice images obtained by Transmission Electron Microscopy (TEM) are routinely used to infer the subsurface microstructure of crystalline materials. In principle, a lattice image is a map of the sample (Coulomb) potential, projected along a zone axis (see, e.g., [1]). In practice, it is difficult to extract quantitative information from lattice images. This stems from two primary reasons. First, electrons are multiply scattered during their passage through crystalline samples of realistic thickness (>10Å). This results in a complex, highly nonlinear relationship between the sample potential and the characteristics of the lattice image. This relationship changes rapidly with the sample thickness, and thus from point to point over the sample. Second, electromagnetic lenses have severe aberrations. The image details thus depend sensitively on the (contrast) transfer function of the microscope, and hence the lens defocus. It is not possible to establish a general relationship between the sample potential and the image features.
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R. Nisha Dayana, T., and Dr A. Lenin Fred. "An efficient method for image mining using GLCM and neural network." International Journal of Engineering & Technology 7, no. 3.3 (June 8, 2018): 76. http://dx.doi.org/10.14419/ijet.v7i2.33.13859.

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Currently, content-based Image recovery (CBIR) drives for producing approaches which supports viable searching and scanning of vast picture progressive libraries by considering unwavering image texture features and has been a rapidly growing inspection bearing among image information recovery, computer vision, and database. The learning procedure of CBIR is achieved with the Neural Network method together with GLCM feature abstraction in our projected technique. Furthermore, with the ABC algorithm the normal/abnormal arrangement of the medical dataset images is managed. Lastly, to regulate the function of the projected method the solutions were replicated and associated with the available method. In the working platform of MATLAB, the projected method is applied.
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Huang, Kui Dong, Liang Zhang, Kun Bu, and Hua Zhang. "Projected Image Restoration Method Based on Genetic Algorithm for Cone-Beam CT." Applied Mechanics and Materials 401-403 (September 2013): 1406–9. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1406.

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For the problem of image quality degradation in cone-beam CT (CBCT) based on flat panel detector (FPD), a genetic algorithm based on pre-segmentation (PS-GA) is proposed for CBCT projected image restoration. According to the characteristic of that most of the area of the projected image is empty and without the tested object, a robust segmentation algorithm is used in this method to segment the smallest rectangle that contains the tested object, and the calculating range is limited to the smallest rectangle by the specially designed genetic algorithm, which significantly reduced the amount of calculated data. The experimental results show that the method raised the edge sharpness, contrast-to-noise ratio (CNR) and average gradient (AG) of the projected images and slice images, and there is no visible artifacts introduced.
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Sugisaka, Jun-ichiro, and Ko Onishi. "Optimal design of photon-sieve holograms for fine-line image generation." Journal of Optics 24, no. 3 (February 4, 2022): 035605. http://dx.doi.org/10.1088/2040-8986/ac4c87.

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Abstract A photon-sieve hologram (PSH) is a computer-generated hologram that can generate fine-line images. As a high-resolution image can be projected directly without using a reducing optical system, it can also be used for short-wavelength radiation, such as x-rays. We propose an optimum design method for the PSH so that a high-quality line image can be projected. We optimised straight-line and L-shaped bent-line images using numerical simulation based on vector diffraction theory and conjugate-gradient methods. This optimisation helped homogenise the intensity of the image and remove unwanted side lobes and spots around the image. We also experimentally examined the bent-line image before and after the optimisation to confirm its effect.
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Picazo, Patricia, Sergio Moreno-Gil, and Dogan Gursoy. "Analysis of the projected image of tourism accommodations: a methodological proposal." International Journal of Contemporary Hospitality Management 31, no. 8 (August 12, 2019): 3325–51. http://dx.doi.org/10.1108/ijchm-05-2017-0276.

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Purpose Examination of the image projected through photographs used in marketing materials can enable managers to identify opportunities for creating differentiated positioning in the marketplace. However, the impact of image projected through photographs has not received much attention in academic literature. This paper aims to establish a methodology using dynamic indices that allow a systematic comparative evaluation of the image projected through photographs used in marketing materials of lodging properties located in competing destinations. It also provides an empirical examination of the type of image projected through photographs of lodging properties in those destinations. Design/methodology/approach Analysis was conducted using a content analysis methodology. A total of 17,187 photographs of 5,820 lodging properties located in 15 different tourism destinations over a period of eight years were examined. Findings Results revealed that the proposed methodology based on dynamic comparative indices is appropriate for determining the projected image of lodging properties. The dynamic indices, which categorise photographs in three main categories: subject (people), activities (actions carried out) and contextualisation (location), allowed a systematic evaluation of the image projected of lodging properties in competing destinations. Results of the empirical analysis indicated important differences in the image projected through photographs among lodging properties located in 15 destinations. Practical implications This study provides the industry and destination marketing organisations (DMOs) with a useful and simple tool for comparatively evaluating the image projected by tourism accommodations. The methodology proposed enables managers to identify the current image and the changes in the image of their lodging properties, their destinations and those of their main competitors over the years, thus providing opportunities for development of more effective differentiation and positioning strategies in their respective target markets. Originality/value The proposed tool provides a methodology that can be used to categorise and evaluate the image represented on the photographs used in marketing materials to ensure the projection of the intended image. Furthermore, the proposed methodological tool enables managers to monitor the image projected through photographs used in competitors’ marketing materials and identify changes in their image projected over time.
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Dissertations / Theses on the topic "Projected image"

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Christie, David John, and dave christie@hipsys com. "A Trilateral Model for the Management of Corporate Image: an examination of the inter-relationship between an organisation's Self Image, its Projected Image and its Perceived Image." Griffith University. School of Management, 2002. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030102.095828.

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The Research Topic and the Need for It: This thesis starts with a review of what the literature says about the importance of corporate image and how it needs to be managed as a strategic asset. However, the problem is there is no model that shows what corporate image comprises and explains how its various components interact with one another so that it can be managed. The result is a number of confusing and contradictory definitions and unproductive discussions about things like whether corporate reputation and corporate image are different or synonymous. In response to this need, it is suggested that corporate image comprises three different image perspectives; namely, Self Image, Projected Image and Perceived Image and that it is only when these are defined separately and regarded holistically that corporate image can be properly defined, understood and managed. Objective: The objective of this research was to develop and test this model using triangulated approaches in which data could be acquired and understood from different sources. To this end questionnaires were developed by document analysis, consultation and discussion. This research was conducted in two very different organisations - a new university campus and a sugar co-operative. In the interests of confidentiality they have been renamed Barton University's Kingsley Campus and Sunstate Sugar Co-operative Association Limited. Data was input into both SPSS and HIPSYS computer programs for the Kingsley Campus research and into HIPSYS for the Sunstate Sugar research. For both research sites the results were discussed with members of all response groups so that accurate interpretations of the data could be made and additional meaningful data acquired. For Kingsley Campus, response groups included all Academic and General Staff of Kingsley Campus for the Self Image and the Projected Image, and for the Perceived Image all Current and Past Students, a representative sample of Grade 12 high school students, advanced diploma students of Kingsley TAFE, and Community Leaders. In all 3,693 questionnaires were distributed and 934 completed questionnaires were processed. For Sunstate Sugar, response groups included all employees for the Self Image separated by Management, Supervisors and Workforce, all Board members and all Employees who interface with the growers (members of the co-operative) for the Projected Image, and all members of the co-operative for the Perceived Image. In all 1830 questionnaires were distributed and 916 completed questionnaires were processed. Findings: The results from the Kingsley Campus research showed that the Projected Image needed to be more effectively targeted at the Grade 12 target group. The results from the Sunstate Sugar research showed that its Perceived Image was affected by its Self Image as well as by its Projected Image and that its Self Image in particular needed to be made more positive. The results from both organisations suggest that a positive corporate Self Image influences the Projected Image and can have as much impact on the Perceived Image as does the Projected Image. In exploring and discussing the results of this research, each organization derived recommendations which led to their developing action plans for the more effective management of their corporate image. These results indicate that the model created has eliminated a gap in the literature, diffused the confusion regarding what corporate image is, and provided a structure and a methodology by which corporate image can be identified and managed. It has been shown to have considerable utility.
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Christie, David. "A Trilateral Model for the Management of Corporate Image: an examination of the inter-relationship between an organisation's Self Image, its Projected Image and its Perceived Image." Thesis, Griffith University, 2002. http://hdl.handle.net/10072/367461.

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The Research Topic and the Need for It: This thesis starts with a review of what the literature says about the importance of corporate image and how it needs to be managed as a strategic asset. However, the problem is there is no model that shows what corporate image comprises and explains how its various components interact with one another so that it can be managed. The result is a number of confusing and contradictory definitions and unproductive discussions about things like whether corporate reputation and corporate image are different or synonymous. In response to this need, it is suggested that corporate image comprises three different image perspectives; namely, Self Image, Projected Image and Perceived Image and that it is only when these are defined separately and regarded holistically that corporate image can be properly defined, understood and managed. Objective: The objective of this research was to develop and test this model using triangulated approaches in which data could be acquired and understood from different sources. To this end questionnaires were developed by document analysis, consultation and discussion. This research was conducted in two very different organisations - a new university campus and a sugar co-operative. In the interests of confidentiality they have been renamed Barton University's Kingsley Campus and Sunstate Sugar Co-operative Association Limited. Data was input into both SPSS and HIPSYS computer programs for the Kingsley Campus research and into HIPSYS for the Sunstate Sugar research. For both research sites the results were discussed with members of all response groups so that accurate interpretations of the data could be made and additional meaningful data acquired. For Kingsley Campus, response groups included all Academic and General Staff of Kingsley Campus for the Self Image and the Projected Image, and for the Perceived Image all Current and Past Students, a representative sample of Grade 12 high school students, advanced diploma students of Kingsley TAFE, and Community Leaders. In all 3,693 questionnaires were distributed and 934 completed questionnaires were processed. For Sunstate Sugar, response groups included all employees for the Self Image separated by Management, Supervisors and Workforce, all Board members and all Employees who interface with the growers (members of the co-operative) for the Projected Image, and all members of the co-operative for the Perceived Image. In all 1830 questionnaires were distributed and 916 completed questionnaires were processed. Findings: The results from the Kingsley Campus research showed that the Projected Image needed to be more effectively targeted at the Grade 12 target group. The results from the Sunstate Sugar research showed that its Perceived Image was affected by its Self Image as well as by its Projected Image and that its Self Image in particular needed to be made more positive. The results from both organisations suggest that a positive corporate Self Image influences the Projected Image and can have as much impact on the Perceived Image as does the Projected Image. In exploring and discussing the results of this research, each organization derived recommendations which led to their developing action plans for the more effective management of their corporate image. These results indicate that the model created has eliminated a gap in the literature, diffused the confusion regarding what corporate image is, and provided a structure and a methodology by which corporate image can be identified and managed. It has been shown to have considerable utility.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Management
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Mariné, Roig Estela. "From the projected to the transmitted image: the 2.0 construction of tourist destination image and identity in Catalonia." Doctoral thesis, Universitat Rovira i Virgili, 2013. http://hdl.handle.net/10803/135006.

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This thesis aims to explore online projected and perceived images of a tourist destination, to assess their mutual correspondence, and to shed light on the role of online user-generated images in destination image formation. It also seeks to analyse the spatial distribution of image by tourists and the complex image identity issues concerning a destination. To achieve this, online image sources regarding the case study of Catalonia were analysed through massive computerized quantitative content analysis of some 25,000 travel blog and review entries (perceived image) and around 3,000 official tourism webpages (projected image). The results showed significant dissonance between tourists’ images and official images of the destination in several aspects, notably its attraction factors and cultural identity. Tourists' destination images were found to be greatly concentrated on certain elements and spaces. Finally, this thesis proposes the concept of "transmitted image" to reflect the new central role of tourists’ online images in the creation, dissemination and formation of destination image. Keywords: tourist destination image; destination identity; online image; perceived image; projected image; transmitted image; travel blog; travel review; official tourism websites; Web 2.0; quantitative content analysis; Catalonia.
Aquesta tesi té com a objectiu explorar les imatges projectades i percebudes online d’una destinació turística, examinar la seva correspondència mútua, i contribuir a aclarir el rol de les imatges online generades pels usuaris en la formació de la imatge d’una destinació. Amb aquests propòsits, es van analitzar fonts d’imatge online sobre el cas d’estudi de Catalunya a través d’una anàlisi computeritzada quantitativa de contingut massiu d’aproximadament 25.000 entrades de travel blogs i travel reviews (imatge percebuda) i aproximadament 3.000 pàgines de webs oficials (imatge projectada). Els resultats mostren que hi ha una dissonància important entre les imatges dels turistes i les imatges oficials de la destinació en diversos aspectes, notablement en els seus factors d’atracció i identitat cultural. S’ha trobat que les imatges dels turistes sobre la destinació estaven altament concentrades en certs elements i espais. Finalment, aquesta tesi proposa el concepte d’ “imatge transmesa” per tal de reflectir el nou rol central de les imatges online dels turistes en la creació, disseminació i formació de la imatge d’una destinació. Paraules clau: imatge d’una destinació turística; identitat de la destinació; imatge online; imatge percebuda; imatge projectada; imatge transmesa; blog de viatges; review de viatges; webs oficials de turisme; web 2.0; anàlisi de contingut quantitatiu; Catalunya.
Esta tesis tiene como objetivo explorar las imágenes proyectadas y percibidas online de un destino turístico, examinar su correspondencia mutua, y contribuir a aclarar el rol de las imágenes online generadas por los usuarios en la formación de la imagen de un destino. Con estos propósitos, se analizaron fuentes de imagen online sobre el caso de estudio de Cataluña a través de un análisis computerizado cuantitativo de contenido masivo de aproximadamente 25.000 entradas de travel blogs y travel reviews (imagen percibida) y aproximadamente 3.000 páginas de webs oficiales (imagen proyectada). Los resultados muestran que hay una disonancia importante entre las imágenes de los turistas y las imágenes oficiales del destino en varios aspectos, notablemente en sus factores de atracción e identidad cultural. Se ha encontrado que las imágenes de los turistas sobre el destino estaban altamente concentradas en ciertos elementos y espacios. Finalmente, esta tesis propone el concepto de “imagen transmitida” para reflejar el nuevo rol central de las imágenes online de los turistas en la creación, diseminación y formación de la imagen de un destino. Palabras clave: imagen de un destino turístico; identidad del destino; imagen online; imagen percibida; imagen proyectada; imagen transmitida; blog de viajes; review de viajes; webs oficiales de turismo; web 2.0; análisis de contenido cuantitativo; Cataluña.
Cette thèse a pour objectif d’explorer les images projetées et perçues en ligne d'une destination touristique, examiner sa correspondance mutuelle, et contribuer à clarifier le rôle des images en ligne générées par les usagers dans la formation de l'image d'une destination. Dans ce but, des sources d’image en ligne sur le cas d'étude de la Catalogne ont été analysées à travers d'une analyse informatisée quantitative d'un contenu massif d'à peu près 25.000 travel blogs et travel reviews (image perçue) et à peu près 3.000 pages de sites web officiels (image projetée). Les résultats montrent qu'il y a une dissonance importante entre les images des touristes et les images officielles de la destination selon quelques aspects, surtout dans ses facteurs d'attraction et d'identité culturelle. On a trouvé que les images des touristes sur la destination étaient hautement concentrées dans certains éléments et des espaces. Finalement, cette thèse propose le concept d’ "image transmise" pour refléter le nouveau rôle central des images en ligne des touristes dans la création, la dissémination et la formation de l'image d'une destination. Mots clés: image d'une destination touristique; identité de la destination; image en ligne; image perçue; image projetée; image transmise; blog de voyage; review de voyage; sites web officiels de tourisme; web 2.0; analyse de contenu quantitatif; Catalogne.
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Lester, Audrey A. "Color reproduction of CRT-displayed images as projected transparencies /." Online version of thesis, 1994. http://hdl.handle.net/1850/11755.

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Kang, Yiyun. "The spatiality of projection mapping : a practice-based research on projected moving-image installation." Thesis, Royal College of Art, 2018. http://researchonline.rca.ac.uk/3391/.

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This practice-based research investigates how projection mapping develops a distinctive relationship between screen, moving image, and space in projected moving-image art. Despite projection mapping’s growing popularity, little in-depth research has been conducted on this medium. This lack of research and the superficial nature of many projects have led artists and researchers to regard the medium as a mere technique that serves only to decorate three-dimensional surfaces. Rather than view projection mapping simply as a digital technique, my research situates it in the continuum of projected moving-image installation artwork. To do this, I examine projection mapping’s screen, narrative, and surrounding space—the constituents of all projected moving-image installation art—through the lenses of surface and depth. In addition to considering cinematic frames, I analyse these traits through artistic lenses such as painting, site-specific art, and architecture to investigate how projection mapping reconfigures the constituents that comprise all screen-based projected moving-image works. In so doing, I define the ways which projection mapping develops its distinctive relationship among these constituents. I conducted three projects in a cyclical developmental process using a reflective methodology derived from case study research: defining the question, recording the process, analysing, and reflecting. My practices as case studies are integral parts of this thesis investigation of how projection mapping generates a distinctive relationship. This study aims to contribute to the body of knowledge about an under-researched area, projection mapping, by providing an in-depth conceptual and practical analysis of this medium. The knowledge resulting from the research is embodied in findings from contextual reviews and original artworks produced as case studies.
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Kio, Onoise Gerald. "Distortion correction for non-planar deformable projection displays through homography shaping and projected image warping." Thesis, University of Central Lancashire, 2016. http://clok.uclan.ac.uk/16569/.

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Video projectors have advanced from being tools for only delivering presentations on flat or planar surfaces to tools for delivering media content in such applications as augmented reality, simulated sports practice and invisible displays. With the use of non-planar surfaces for projection comes geometric and radiometric distortions. This work dwells on correcting geometric distortions occurring when images or video frames are projected onto static and deformable non-planar display surfaces. The distortion-correction process involves (i) detecting feature points from the camera images and creating a desired shape of the undistorted view through a 2D homography, (ii) transforming the feature points on the camera images to control points on the projected images, (iii) calculating Radial Basis Function (RBF) warping coefficients from the control points, and warping the projected image to obtain an undistorted image of the projection on the projection surface. Several novel aspects of this work have emerged and include (i) developing a theoretical framework that explains the cause of distortion and provides a general warping pattern to be applied to the projection, (ii) carrying out the distortion-correction process without the use of a distortion-measuring calibration image or structured light pattern, (iii) carrying out the distortioncorrection process on a projection display that deforms with time with a single uncalibrated projector and uncalibrated camera, and (iv) performing an optimisation of the distortioncorrection processes to operate in real-time. The geometric distortion correction process designed in this work has been tested for both static projection systems in which the components remain fixed in position, and dynamic projection systems in which the positions of components or shape of the display change with time. The results of these tests show that the geometric distortion-correction technique developed in this work improves the observed image geometry by as much as 31% based on normalised correlation measure. The optimisation of the distortion-correction process resulted in a 98% improvement of its speed of operation thereby demonstrating the applicability of the proposed approach to real projection systems with deformable projection displays.
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Blamberg, Jan Eric. "The Public image projected by the Roman emperors A.D. 69-117, as reflected in contemporary imperial coinage /." Ann Arbor : University Microfilms International, 1985. http://catalogue.bnf.fr/ark:/12148/cb348332664.

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Bokaris, Panagiotis-Alexandros. "Video-projected augmented reality : Photometric compensation for static and dynamic concealment." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS453/document.

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Cette thèse développe de nouvelles approches pour l'effacement et la révélation de la présence humaine en utilisant des techniques de réalité augmentée. Elle se concentre sur les systèmes projecteur-caméra (ProCams) et leur application dans les «projections intelligentes», où le contenu virtuel projeté est adapté en fonction de l'environnement. Nous nous appuyons sur les travaux antérieurs sur la compensation photométrique pour projeter sur une surface colorée fixe qui permet au spectateur d'observer la même image telle qu'elle apparaîtrait sur une surface blanche. Malgré les différentes méthodes de compensation des couleurs qui ont été proposées au cours de décennie, la compensation appliquée à monde réel avec des couleurs saturées et vives est encore une question ouverte. L'objectif principal de ce travail est la compensation photométrique sur un objet 3D en mouvement en utilisant un ProCam, ce qui est un scénario considérablement plus difficile. Une nouvelle méthode pour la compensation de couleur à l'aide d'une image d'entrée unique est proposée. Elle consiste à estimer la réflectance spectrale de la surface afin de compenser celle-ci en supposant que les réponses du projecteur sont connues ou mesurées précédemment. Cette méthode a été entièrement développée sur GPU pour permettre une compensation en temps réel. Les méthodes antérieures sur la compensation couleur sont discutées et comparées afin d'évaluer la performance de notre technique. L'étalonnage photométrique et géométrique précis d'un ProCam est essentiel pour une compensation précise. Une nouvelle technique de calibration géométrique entre un capteur de profondeur et un ProCam est présentée dans le but de réaliser la projection sur un objet en mouvement. Une calibration photométrique est décrite pour la transformation des valeurs RGB de la caméra et du projecteur (dépendantes du périphérique) vers l'espace couleur CIE XYZ 1931 (indépendantes du périphérique). Le potentiel artistique des techniques de réalité augmentée proposées est en outre exploré à travers l'installation interactive artistique “Gardien du Temple”. La révélation et l'effacement ont toujours été un terrain d'expérimentation commun aux artistes et aux scientifiques. Cette installation audiovisuelle utilise la réalité augmentée pour effacer la présence d'un poème écrit sur un tapis invitant le spectateur à le révéler. Dans de telles applications, la précision et la robustesse des méthodes utilisées sont cruciales. Cette installation artistique a donc permis de tester et d'évaluer les travaux de cette thèse dans un contexte collaboratif et exigeant
This thesis develops new approaches for human presence concealment and revelation using augmented reality techniques. It focuses on projector-camera systems (ProCams) and their application in “smart projections”, where the projected virtual content is adapted according to the environment. One previously-studied problem is the photometric compensation for projecting on a colored fixed surface that allows the viewer to observe the same image as it would appear on a white surface. Despite the various methods for color compensation that have been proposed the last decade, compensation on a real-world surface with saturated colors and sharp color boundaries is still an open issue. The main objective of this work is the color compensation on a moving 3D object using a ProCam, which is a dramatically more challenging scenario. A novel method for color compensation using a single input frame is proposed. It consists in estimating the spectral reflectance of the surface in order to compensate for it under the assumption that the projector responses are known or previously measured. This method was fully developed on GPU to enable real-time compensation. Previous methods on color compensation are discussed and compared in order to evaluate the performance of our technique. The accurate photometric and geometric calibration of a ProCam is essential for precise compensation. A new geometric calibration technique between a depth sensor and a ProCam is presented in order to make the projection on a moving object feasible. A photometric calibration is described for the transformation of the device-dependent camera and projector values to the device-independent CIE XYZ 1931 color space. The artistic potential of the proposed augmented reality techniques is further explored through the interactive art installation “Gardien du Temple”. Revelation and concealment has always been a common experimentation ground for both artists and scientists. This audio visual installation uses augmented reality to hide the presence of a written poem on a carpet inviting the spectator to reveal it. In such applications, the accuracy and robust performance of the methods employed is crucial and, thus, it offered a challenging ground for testing and evaluation
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Lai, Mun Yee. "Conceptualising an Attribute-based Framework of Projected and Perceived Destination Food Image: The Case of Australia and its Chinese Market." Thesis, Griffith University, 2018. http://hdl.handle.net/10072/385552.

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The 2017 United Nations World Tourism Organization (UNWTO) Global Report on Gastronomy Tourism revealed that the local cuisine of a destination is a leading factor influencing destination choice, and tourists are increasingly attracted to destinations with favourable food appeal. In response to this growing trend, the tourism industry has begun to focus on building an attractive and distinctive local food and cuisine image into their branding strategy to enhance competitiveness and capitalise on the growing market. Despite the increasing attention from researchers, there is a lack of consensus on defining the determinants of food image as a set of brand attributes that depict the identity and attraction of a place. Current research that attempts to explain the influence of food and cuisine in the formation of destination brand image takes either a host or tourist perspective. Arguably, existing measures do not adequately capture what the destination has to offer and what is being valued and perceived as attractive by the tourist, which consequently hinder theory development. Considering these discrepancies, the overarching aim of this thesis is to examine the dual-perspective of food image, one that is projected and/or perceived by destination marketers and their industry stakeholders; and the other a mental representation as perceived by potential tourists. Theoretically, this thesis aims to conceptualise an attribute-based framework of destination food image by integrating both host and tourist images to align projected image and perceived image evaluations. Chapter 1 offers an introduction to the study background and an overview of the research design. The research begins with a literature review to investigate the current state of food image research in tourism. Informed by the gaps highlighted in the review, a framework was developed. It comprises 40 attributes of food image categorised into six dimensions, i.e. place/geographic environment, food and cuisine culture, food and people, food quality, dining places/restaurants, and activities related to food tourism offerings. This work has been published as a research article in the journal, Tourism and Hospitality Research, and is included in this thesis as Chapter Two. The mapping of a comprehensive list of food image attributes in Chapter Two assisted the development of a model that was subsequently tested empirically for its applicability to the context of Australia and its desired market segment, Chinese tourists. The research adopted a critical realism multi-method approach incorporating: (i) a survey of food tourism stakeholders; (ii) a content analysis of a video used by Tourism Australia in its food campaign; and (iii) a quantitative test of the model using survey data, and an analysis using the PLS-SEM method. These three components were conducted in two sequential empirical phases/studies. The first empirical study looks at food image from the host perspective. The data were drawn from 18 key industry stakeholders, and an analysis of a video to frame the food images projected by Tourism Australia’s campaign. This work has been published as a research article in Tourism Management, and is included in this thesis as Chapter Three. Building on the literature review and the first empirical study, the second empirical study investigated potential tourists’ perceived food images of Australia. It proposes a model that integrates food image and food neophobia theories, and validates the model on data collected from 500 potential Chinese tourists through an online survey. This study is currently under review for publication in the Journal of Travel Research, and is included in this thesis as Chapter Four. Insights from stakeholders reveal that gaps occur between projected food images and actual food tourism offerings. Stakeholders raised some concerns about Tourism Australia promoting high-end food experiences, and called for the affordability and accessibility of food experiences for the tourist market. They also suggested that the most compelling image for Australia is the country’s diverse food culture, and the natural and clean growing environment for fresh local produce. From the tourist perspective, the model helps to identify the images formed as a set of mental representations in the minds of potential Chinese tourists. Their perceptions of Australia as a food destination, and decision to choose the destination are significantly influenced by the country’s clean food environment, unique food culture, and interesting dining places/restaurants. The findings further reveal the effects of individual food neophobia tendencies and highlight the need for destination brand strategies to be sensitive to tourists’ food-related traits/attitude. Overall, this program of research identified specific congruences and incongruences between the promoted/projected images created by the destination marketers and those images held by the internal stakeholders, as well as the external views of tourists of Australia as a food destination. This thesis contributes to destination food image knowledge by pulling together the various dimensions and indicators of food destination attractiveness, from the perspectives of both the host and the tourist into a comprehensive conceptual framework, and then empirically testing this framework. It contributes to the literature by simultaneously examining the predictive power of cognitive and affective food image components perceived by potential tourists on their behavioural intention. The model integrates food image and food neophobia theories to contribute greater explanatory power to destination food image formation. It also attempts to enrich current knowledge of consumer behaviour in food tourism by determining factors underlying the dimensions of the perceived image of a country’s cuisine amongst potential tourists in the pre-visit stage. Practically, the findings suggest that marketers compete on food attributes that the potential target market will appreciate, and adopt branding strategies that are aligned with tourists’ food image and expectations. As stated, this thesis comprises three articles: two published and one under review for publication.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Dept Tourism, Sport & Hot Mgmt
Griffith Business School
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Grizzle, Linda S. "Three Pension Cost Methods under Varying Assumptions." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd850.pdf.

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Books on the topic "Projected image"

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Screen/space: The projected image in contemporary art. Manchester, UK: Manchester University Press, 2011.

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Dia Center for the Arts. and Kunstmuseum Luzern, eds. Projected images: 1972-1994. New York: Dia Center for the Arts, 1995.

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Tony, Szczepanek, ed. Images of projects. Burlington, VT: Gower, 2009.

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Majumder, Aditi. Practical multi-projector display design. Wellesley, Mass: A K Peters, 2007.

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Singleton, Nerida. Nerida Singleton's découpage project kit book: With images, papers and projects. Rozelle, NSW, Australia: Sally Milner Pub., 1994.

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1950-, Besant Derek Michael, and Nickle Arts Museum, eds. EastEnd: A collaborative image + text project. Indianapolis, Ind: Dog Ear Press, 2007.

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Alexander, Darsie. Slide Show: Projected Images in Contemporary Art. University Park, PA: Pennsylvania State University Press, 2005.

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J, Sammon Michael, Seul Michael, and Seul Michael, eds. Practical algorithms for image analysis: Description, examples, programs, and projects. 2nd ed. Cambridge: Cambridge University Press, 2008.

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Thiessen, Dennis. Project 95+: Image of the future teacher. [Toronto: Faculty of Education, University of Toronto?], 1992.

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King, Julie Adair. Digital photo projects for dummies. Hoboken, N.J: Wiley, 2007.

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Book chapters on the topic "Projected image"

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Duval, Vincent, Jean-François Aujol, and Luminita Vese. "Projected Gradient Based Color Image Decomposition." In Lecture Notes in Computer Science, 295–306. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02256-2_25.

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Govers, Robert, and Frank Go. "Signature Case Dubai: Projected Image Research." In Place Branding, 151–67. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1007/978-0-230-24702-4_9.

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Isaac, Rami K. "The Perceived and Projected Image of Hiroshima." In Tourism Marketing in Southeast and East Asia, 128–50. GB: CABI, 2022. http://dx.doi.org/10.1079/9781800622166.0008.

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Fichtinger, Gabor, Sheng Xu, Attila Tanacs, Kieran Murphy, Lee Myers, and Jeffery Williams. "Approximate Volumetric Reconstruction from Projected Images." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001, 1376–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45468-3_235.

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Nixon, Lyndon. "Do DMOs Promote the Right Aspects of the Destination? A Study of Instagram Photography with a Visual Classifier." In Information and Communication Technologies in Tourism 2022, 174–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94751-4_16.

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AbstractAs global travel emerges from the pandemic, pent up interest in travel will lead to consumers making their choice between global destinations. Instagram is a key source of destination inspiration. DMO marketing success on this channel relies on projecting a destination image that resonates with this target group. However, usual text-based marketing intelligence on this channel does not work as content is consumed first and foremost as a visual projection. The author has built a deep learning based visual classifier for destination image measurement from photos. In this paper, we compare projected and perceived destination images in Instagram photography for four of the most Instagrammed destinations worldwide. We find that whereas the projected destination image aligns well to the perceived image, there are specific aspects of the destinations that are of more interest to Instagrammers than reflected in the current destination marketing.
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Bu, Yuanyang, Yongqiang Zhao, and Jonathan Cheung-Wai Chan. "Hyperspectral Image Super-Resolution via Self-projected Smooth Prior." In Pattern Recognition and Computer Vision, 648–59. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60633-6_54.

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Wacker, Adriana, and Aleksander Groth. "Projected and Perceived Destination Image of Tyrol on Instagram." In Information and Communication Technologies in Tourism 2020, 103–14. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36737-4_9.

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Park, Jiyoung, and Myoung-Hee Kim. "Controlling an Anamorphic Projected Image for Off-Axis Viewing." In Universal Access in Human-Computer Interaction. Ambient Interaction, 691–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73281-5_75.

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Essaidani, Dhekra, and Hassene Seddik. "Invariant Digital Image Watermarking Scheme in the Projected-Frequency Domain." In Lecture Notes in Computer Science, 45–54. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94211-7_6.

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Zou, X. D. "Crystal Structure Determination by Crystallographic Image Processing: I.HREM images, structure factors and projected potential." In Electron Crystallography, 163–72. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8971-0_12.

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Conference papers on the topic "Projected image"

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Sharma, Avinash, and Anoop Namboodiri. "Object Category Recognition with Projected Texture." In Image Processing (ICVGIP). IEEE, 2008. http://dx.doi.org/10.1109/icvgip.2008.62.

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Klopschitz, Manfred, Roland Perko, Gerald Lodron, Gerhard Paar, and Heinz Mayer. "Projected texture fusion." In 2017 10th International Symposium on Image and Signal Processing and Analysis (ISPA). IEEE, 2017. http://dx.doi.org/10.1109/ispa.2017.8073579.

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Nakata, Koji, Hirotake Yamazoe, Min Gyo Chung, and Joo-Ho Lee. "Projected image stabilization with pre-measurement data for movable projector." In 2016 IEEE/SICE International Symposium on System Integration (SII). IEEE, 2016. http://dx.doi.org/10.1109/sii.2016.7844005.

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Delbracio, Mauricio, Hossein Talebei, and Pevman Milanfar. "Projected Distribution Loss for Image Enhancement." In 2021 IEEE International Conference on Computational Photography (ICCP). IEEE, 2021. http://dx.doi.org/10.1109/iccp51581.2021.9466271.

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Abu-Hussein, Shady, Tom Tirer, Se Young Chun, Yonina C. Eldar, and Raja Giryes. "Image Restoration by Deep Projected GSURE." In 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2022. http://dx.doi.org/10.1109/wacv51458.2022.00017.

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Tanaka, Masaru. "Quasi-moments under the projected rotation group." In Visual Communications and Image Processing '95, edited by Lance T. Wu. SPIE, 1995. http://dx.doi.org/10.1117/12.206793.

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Zymnis, A., S. J. Kim, J. Skaf, M. Parente, and S. Boyd. "Hyperspectral Image Unmixing via Alternating Projected Subgradients." In 2007 41st Asilomar conference on Signals, Systems and Computers (ACSSC). IEEE, 2007. http://dx.doi.org/10.1109/acssc.2007.4487406.

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Oyamada, Yuji, and Hideo Saito. "Focal Pre-Correction of Projected Image for Deblurring Screen Image." In 2007 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2007. http://dx.doi.org/10.1109/cvpr.2007.383465.

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Son, Chang-Hwan, Soo-Jin Sung, and Yeong-Ho Ha. "Color correction of projected image on color-screen for mobile beam-projector." In Electronic Imaging 2008, edited by Reiner Eschbach, Gabriel G. Marcu, and Shoji Tominaga. SPIE, 2008. http://dx.doi.org/10.1117/12.766047.

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Murata, Satoshi, and Kaori Fujinami. "Stabilization of Projected Image for Wearable Walking Support System Using Pico-projector." In 2011 IEEE 17th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). IEEE, 2011. http://dx.doi.org/10.1109/rtcsa.2011.53.

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Reports on the topic "Projected image"

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Bickel, V. T., B. Moseley, E. Hauber, M. Shirley, J. P. Williams, and D. A. Kring. CHARACTERIZATION OF SHADOWED REGIONS AT THE LUNAR SOUTH POLE. Frontier Development Lab, July 2022. http://dx.doi.org/10.56272/gqkz6227.

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This image repository contains a total of 576 non map-projected HORUS (Hyper-effective nOise Removal Unet Software) post-processed images of permanently shadowed regions (PSRs) located across the Artemis exploration zone at the lunar south pole (144 individual images).
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Driver, R. K. N-STAR/IMAGE Project. Final report. Office of Scientific and Technical Information (OSTI), June 1993. http://dx.doi.org/10.2172/10130350.

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Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

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Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no major revisions in the overall objective, however, several revisions were made on the specific objectives. The revised specific objectives were: (1) to develop a yield mapping system for a static situation, using color and thermal imaging independently, (2) to integrate color and thermal imaging for improved yield estimation by combining thermal images with color images to improve fruit detection, and (3) to expand the system to an autonomous mobile platform for a continuous-measure situation. Background, major conclusions, solutions and achievements -- Yield mapping is considered as an initial step for applying precision agriculture technologies. Although many yield mapping systems have been developed for agronomic crops, it remains a difficult task for mapping yield of tree crops. In this project, an autonomous immature fruit yield mapping system was developed. The system could detect and count the number of fruit at early growth stages of citrus fruit so that farmers could apply site-specific management based on the maps. There were two sub-systems, a navigation system and an imaging system. Robot Operating System (ROS) was the backbone for developing the navigation system using an unmanned ground vehicle (UGV). An inertial measurement unit (IMU), wheel encoders and a GPS were integrated using an extended Kalman filter to provide reliable and accurate localization information. A LiDAR was added to support simultaneous localization and mapping (SLAM) algorithms. The color camera on a Microsoft Kinect was used to detect citrus trees and a new machine vision algorithm was developed to enable autonomous navigations in the citrus grove. A multimodal imaging system, which consisted of two color cameras and a thermal camera, was carried by the vehicle for video acquisitions. A novel image registration method was developed for combining color and thermal images and matching fruit in both images which achieved pixel-level accuracy. A new Color- Thermal Combined Probability (CTCP) algorithm was created to effectively fuse information from the color and thermal images to classify potential image regions into fruit and non-fruit classes. Algorithms were also developed to integrate image registration, information fusion and fruit classification and detection into a single step for real-time processing. The imaging system achieved a precision rate of 95.5% and a recall rate of 90.4% on immature green citrus fruit detection which was a great improvement compared to previous studies. Implications – The development of the immature green fruit yield mapping system will help farmers make early decisions for planning operations and marketing so high yield and profit can be achieved.
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Byron, B. D. ,. Westinghouse Hanford. Visual Image Digital Object Network (VIDON) software project management plan. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/296586.

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Schuster, John, and Vern Hanzlik. Image Document Representation: Project Accomplishments Summary CRADA No. TSB-1557-98. Office of Scientific and Technical Information (OSTI), March 2001. http://dx.doi.org/10.2172/1410065.

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Houck, T., M. Ong, and R. Paris. FXR Optimization Project: Determining Beam Quality By Cathode Plasma Image Analysis. Office of Scientific and Technical Information (OSTI), November 2012. http://dx.doi.org/10.2172/1059080.

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Goforth, J., L. Gaines, W. White, and P. Pope. Benchmark Imagery Project Selection of Real World Images for Creating Composite Images of Facilities. Office of Scientific and Technical Information (OSTI), March 2013. http://dx.doi.org/10.2172/1077177.

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Zhu, Zhiliang. Scan angle calculation and image compositing for the Mexico forest mapping project. New Orleans, LA: U.S. Department of Agriculture, Forest Service, Southern Forest Experiment Station, 1994. http://dx.doi.org/10.2737/so-rn-375.

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Goforth, J., T. White, P. Pope, R. Roberts, I. Burns, and L. Gaines. Benchmark Imagery Project, Report on Generation of Synthetic Images. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1053985.

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Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, December 2002. http://dx.doi.org/10.32747/2002.7585193.bard.

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This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are obtained by manual sampling of the filed in a grid pattern. Maps of various field attributes are then prepared from these samples by the "Inverse Distance" interpolation method or by Kriging. An improved interpolation method was developed which is based on minimizing the overall curvature of the resulting map. Such maps are the ground truth reference, used for training the algorithm that generates the predicted field maps from remote sensing imagery. Both the reference and the predicted maps are stratified into "Prototype Plots", e.g. 15xl5 blocks of 2m pixels whereby the block size is 30x30m. This averaging reduces the datasets to manageable size and significantly improves the typically poor repeatability of remote sensing imaging systems. In the first two years of the project we used the Normalized Difference Vegetation Index (NDVI), for generating predicted yield maps of sugar beets and com. The NDVI was computed from image cubes of three spectral bands, generated by an optically filtered three camera video imaging system. A two dimensional FFT based regression model Y=f(X), was used wherein Y was the reference map and X=NDVI was the predictor. The FFT regression method applies the "Wavelet Based", "Pixel Block" and "Image Rotation" transforms to the reference and remote images, prior to the Fast - Fourier Transform (FFT) Regression method with the "Phase Lock" option. A complex domain based map Yfft is derived by least squares minimization between the amplitude matrices of X and Y, via the 2D FFT. For one time predictions, the phase matrix of Y is combined with the amplitude matrix ofYfft, whereby an improved predicted map Yplock is formed. Usually, the residuals of Y plock versus Y are about half of the values of Yfft versus Y. For long term predictions, the phase matrix of a "field mask" is combined with the amplitude matrices of the reference image Y and the predicted image Yfft. The field mask is a binary image of a pre-selected region of interest in X and Y. The resultant maps Ypref and Ypred aremodified versions of Y and Yfft respectively. The residuals of Ypred versus Ypref are even lower than the residuals of Yplock versus Y. The maps, Ypref and Ypred represent a close consensus of two independent imaging methods which "view" the same target. In the last two years of the project our remote sensing capability was expanded by addition of a CASI II airborne hyperspectral imaging system and an ASD hyperspectral radiometer. Unfortunately, the cross-noice and poor repeatability problem we had in multi-spectral imaging was exasperated in hyperspectral imaging. We have been able to overcome this problem by over-flying each field twice in rapid succession and developing the Repeatability Index (RI). The RI quantifies the repeatability of each spectral band in the hyperspectral image cube. Thereby, it is possible to select the bands of higher repeatability for inclusion in the prediction model while bands of low repeatability are excluded. Further segregation of high and low repeatability bands takes place in the prediction model algorithm, which is based on a combination of a "Genetic Algorithm" and Partial Least Squares", (PLS-GA). In summary, modus operandi was developed, for deriving important plant growth attribute maps (yield, leaf nitrate, biomass and sugar percent in beets), from remote sensing imagery, with sufficient accuracy for precision cropping applications. This achievement is remarkable, given the inherently high cross-noice between the reference and remote imagery as well as the highly non-repeatable nature of remote sensing systems. The above methodologies may be readily adopted by commercial companies, which specialize in proving remotely sensed data to farmers.
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