Relevant bibliographies by topics / Photometric image

Academic literature on the topic 'Photometric image'

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Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Photometric image"

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Miyazaki, Daisuke, and Kazuya Uegomori. "Example-Based Multispectral Photometric Stereo for Multi-Colored Surfaces." Journal of Imaging 8, no. 4 (April 11, 2022): 107. http://dx.doi.org/10.3390/jimaging8040107.

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A photometric stereo needs three images taken under three different light directions lit one by one, while a color photometric stereo needs only one image taken under three different lights lit at the same time with different light directions and different colors. As a result, a color photometric stereo can obtain the surface normal of a dynamically moving object from a single image. However, the conventional color photometric stereo cannot estimate a multicolored object due to the colored illumination. This paper uses an example-based photometric stereo to solve the problem of the color photometric stereo. The example-based photometric stereo searches the surface normal from the database of the images of known shapes. Color photometric stereos suffer from mathematical difficulty, and they add many assumptions and constraints; however, the example-based photometric stereo is free from such mathematical problems. The process of our method is pixelwise; thus, the estimated surface normal is not oversmoothed, unlike existing methods that use smoothness constraints. To demonstrate the effectiveness of this study, a measurement device that can realize the multispectral photometric stereo method with sixteen colors is employed instead of the classic color photometric stereo method with three colors.
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Song, Euijeong, Seokjung Kim, Seok Chung, and Minho Chang. "SRPS–deep-learning-based photometric stereo using superresolution images." Journal of Computational Design and Engineering 8, no. 4 (June 14, 2021): 995–1012. http://dx.doi.org/10.1093/jcde/qwab025.

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Abstract This paper introduces a novel deep-learning-based photometric stereo method that uses superresolution (SR) images: SR photometric stereo. Recent deep-learning-based SR algorithms have yielded great results in terms of enlarging images without mosaic effects. Supposing that the SR algorithms successfully enhance the feature and colour information of original images, implementing SR images using the photometric stereo method facilitates the use of considerably more information on the object than existing photometric stereo methods. We built a novel deep-learning-based network for the photometric stereo technique to optimize the input–output of SR image inputs and normal map outputs. We tested our network using the most widely used benchmark dataset and obtained better results than existing photometric stereo methods.
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Baslamisli, Anil S., Partha Das, Hoang-An Le, Sezer Karaoglu, and Theo Gevers. "ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition." International Journal of Computer Vision 129, no. 8 (May 27, 2021): 2445–73. http://dx.doi.org/10.1007/s11263-021-01477-5.

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AbstractIn general, intrinsic image decomposition algorithms interpret shading as one unified component including all photometric effects. As shading transitions are generally smoother than reflectance (albedo) changes, these methods may fail in distinguishing strong photometric effects from reflectance variations. Therefore, in this paper, we propose to decompose the shading component into direct (illumination) and indirect shading (ambient light and shadows) subcomponents. The aim is to distinguish strong photometric effects from reflectance variations. An end-to-end deep convolutional neural network (ShadingNet) is proposed that operates in a fine-to-coarse manner with a specialized fusion and refinement unit exploiting the fine-grained shading model. It is designed to learn specific reflectance cues separated from specific photometric effects to analyze the disentanglement capability. A large-scale dataset of scene-level synthetic images of outdoor natural environments is provided with fine-grained intrinsic image ground-truths. Large scale experiments show that our approach using fine-grained shading decompositions outperforms state-of-the-art algorithms utilizing unified shading on NED, MPI Sintel, GTA V, IIW, MIT Intrinsic Images, 3DRMS and SRD datasets.
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Yu, Yong Yan. "Dense 3D Reconstruction Based on Photometric Stereo with Unknown Light Source via Energy Minimization Framework." Applied Mechanics and Materials 427-429 (September 2013): 1776–80. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1776.

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In this paper,an novel method would be suggested to achieve an dense 3D reconstruction of objects using photometric stereo without any prior knowledge of light source. Using the photometric images I which is constructed with its columns equal to number of photometric images captured and rows equal to number of pixels in a photometric image. A per pixel initial surface normal estimate is computed based upon SVD of the image matrix I. A effective regularization technique has been applied on the initial normal estimate within the energy minimization framework which via graph cuts to regularize them and preserve the underlying discontinuities better.Finally, the regularized surface normals are integrated to recover the surface of the object. The algorithm has been tested on synthetic as well as real datasets and very encouraging results have been obtained.
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Peng, Man, Kaichang Di, Yexin Wang, Wenhui Wan, Zhaoqin Liu, Jia Wang, and Lichun Li. "A Photogrammetric-Photometric Stereo Method for High-Resolution Lunar Topographic Mapping Using Yutu-2 Rover Images." Remote Sensing 13, no. 15 (July 28, 2021): 2975. http://dx.doi.org/10.3390/rs13152975.

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Topographic products are important for mission operations and scientific research in lunar exploration. In a lunar rover mission, high-resolution digital elevation models are typically generated at waypoints by photogrammetry methods based on rover stereo images acquired by stereo cameras. In case stereo images are not available, the stereo-photogrammetric method will not be applicable. Alternatively, photometric stereo method can recover topographic information with pixel-level resolution from three or more images, which are acquired by one camera under the same viewing geometry with different illumination conditions. In this research, we extend the concept of photometric stereo to photogrammetric-photometric stereo by incorporating collinearity equations into imaging irradiance model. The proposed photogrammetric-photometric stereo algorithm for surface construction involves three steps. First, the terrain normal vector in object space is derived from collinearity equations, and image irradiance equation for close-range topographic mapping is determined. Second, based on image irradiance equations of multiple images, the height gradients in image space can be solved. Finally, the height map is reconstructed through global least-squares surface reconstruction with spectral regularization. Experiments were carried out using simulated lunar rover images and actual lunar rover images acquired by Yutu-2 rover of Chang’e-4 mission. The results indicate that the proposed method achieves high-resolution and high-precision surface reconstruction, and outperforms the traditional photometric stereo methods. The proposed method is valuable for ground-based lunar surface reconstruction and can be applicable to surface reconstruction of Earth and other planets.
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Tinbergen, J. "Array Polarimetry and Optical-Differencing Photometry." Symposium - International Astronomical Union 167 (1995): 197–205. http://dx.doi.org/10.1017/s0074180900056448.

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Array detectors have improved the efficiency of optical polarimetry sufficiently for this technique to become part of the standard arsenal of observational facilities. However, we could gain even more: spatially-differentiating photometry can be implemented as an option of array Polarimeters and low-noise, high-frame-rate array detectors will allow extremely high precision both in polarimetry and in such differentiating photometry. The latter would be valuable for analyzing many kinds of optical or infrared images of very low contrast; the essence of the technique is to use optical (and extremely stable) means to produce the spatial derivative of the flux image, in the form of a polarization image which is then presented to a “standard” array polarimeter. The polarimeter should incorporate a polarization modulator of sufficient quality for the photometric application in mind. If developed properly, using a state-of-the-art array detector and the most sensitive type of polarization modulator (stress-birefringence), optical differencing will allow levels of relative photometric precision not otherwise obtainable. With the optical differencing option taken out of the beam, the same instrument can be used for high-quality polarimetry.
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Davies, L. J. M., J. E. Thorne, A. S. G. Robotham, S. Bellstedt, S. P. Driver, N. J. Adams, M. Bilicki, et al. "Deep Extragalactic VIsible Legacy Survey (DEVILS): consistent multiwavelength photometry for the DEVILS regions (COSMOS, XMMLSS, and ECDFS)." Monthly Notices of the Royal Astronomical Society 506, no. 1 (June 5, 2021): 256–87. http://dx.doi.org/10.1093/mnras/stab1601.

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ABSTRACT The Deep Extragalactic VIsible Legacy Survey (DEVILS) is an ongoing high-completeness, deep spectroscopic survey of ∼60 000 galaxies to Y < 21.2 mag, over ∼6 deg2 in three well-studied deep extragalactic fields: D10 (COSMOS), D02 (XMMLSS), and D03 (ECDFS). Numerous DEVILS projects all require consistent, uniformly derived and state-of-the-art photometric data with which to measure galaxy properties. Existing photometric catalogues in these regions either use varied photometric measurement techniques for different facilities/wavelengths leading to inconsistencies, older imaging data and/or rely on source detection and photometry techniques with known problems. Here, we use the ProFound image analysis package and state-of-the-art imaging data sets (including Subaru-HSC, VST-VOICE, VISTA-VIDEO, and UltraVISTA-DR4) to derive matched-source photometry in 22 bands from the FUV to 500 $\mu$m. This photometry is found to be consistent, or better, in colour analysis to previous approaches using fixed-size apertures (which are specifically tuned to derive colours), but produces superior total source photometry, essential for the derivation of stellar masses, star formation rates, star formation histories, etc. Our photometric catalogue is described in detail and, after internal DEVILS team projects, will be publicly released for use by the broader scientific community.
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Diaz, Mauricio, and Peter Sturm. "Estimating Photometric Properties from Image Collections." Journal of Mathematical Imaging and Vision 47, no. 1-2 (May 4, 2013): 93–107. http://dx.doi.org/10.1007/s10851-013-0442-7.

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Hadj-Abdelkader, Hicham, Omar Tahri, and Houssem-Eddine Benseddik. "Rotation Estimation: A Closed-Form Solution Using Spherical Moments." Sensors 19, no. 22 (November 14, 2019): 4958. http://dx.doi.org/10.3390/s19224958.

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Photometric moments are global descriptors of an image that can be used to recover motion information. This paper uses spherical photometric moments for a closed form estimation of 3D rotations from images. Since the used descriptors are global and not of the geometrical kind, they allow to avoid image processing as features extraction, matching, and tracking. The proposed scheme based on spherical projection can be used for the different vision sensors obeying the central unified model: conventional, fisheye, and catadioptric. Experimental results using both synthetic data and real images in different scenarios are provided to show the efficiency of the proposed method.
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Lu, Liang, Hongbao Zhu, Junyu Dong, Yakun Ju, and Huiyu Zhou. "Three-Dimensional Reconstruction with a Laser Line Based on Image In-Painting and Multi-Spectral Photometric Stereo." Sensors 21, no. 6 (March 18, 2021): 2131. http://dx.doi.org/10.3390/s21062131.

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This paper presents a multi-spectral photometric stereo (MPS) method based on image in-painting, which can reconstruct the shape using a multi-spectral image with a laser line. One of the difficulties in multi-spectral photometric stereo is to extract the laser line because the required illumination for MPS, e.g., red, green, and blue light, may pollute the laser color. Unlike previous methods, through the improvement of the network proposed by Isola, a Generative Adversarial Network based on image in-painting was proposed, to separate a multi-spectral image with a laser line into a clean laser image and an uncorrupted multi-spectral image without the laser line. Then these results were substituted into the method proposed by Fan to obtain high-precision 3D reconstruction results. To make the proposed method applicable to real-world objects, a rendered image dataset obtained using the rendering models in ShapeNet has been used for training the network. Evaluation using the rendered images and real-world images shows the superiority of the proposed approach over several previous methods.
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Dissertations / Theses on the topic "Photometric image"

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Cuesta, Contreras Angel. "Geometric and photometric affine invariant image registration." Thesis, Heriot-Watt University, 2009. http://hdl.handle.net/10399/2228.

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This thesis aims to present a solution to the correspondence problem for the registration of wide-baseline images taken from uncalibrated cameras. We propose an affine invariant descriptor that combines the geometry and photometry of the scene to find correspondences between both views. The geometric affine invariant component of the descriptor is based on the affine arc-length metric, whereas the photometry is analysed by invariant colour moments. A graph structure represents the spatial distribution of the primitive features; i.e. nodes correspond to detected high-curvature points, whereas arcs represent connectivities by extracted contours. After matching, we refine the search for correspondences by using a maximum likelihood robust algorithm. We have evaluated the system over synthetic and real data. The method is endemic to propagation of errors introduced by approximations in the system.
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Guillemaut, Jean-Yves. "Contributions to image-based object reconstruction : geometric and photometric aspects." Thesis, University of Surrey, 2006. http://epubs.surrey.ac.uk/527103/.

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Li, Boren. "Photometric stereo for micro-scale shape reconstruction." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/75021.

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This dissertation proposes an approach for 3D micro-scale shape reconstruction using photometric stereo (PS) with surface normal integration (SNI). Based on the proposed approach, a portable cost-effective stationary system is developed to capture 3D shapes in the order of micrometer scale. The PS with SNI technique is adopted to reconstruct 3D microtopology since this technique is highlighted for its capability to reproduce fine surface details at pixel resolution. Furthermore, since the primary hardware components are merely a camera and several typical LEDs, the system based on PS with SNI can be made portable at low cost. The principal contributions are three folds. First, a PS method based on dichromatic reflectance model (DRM) using color input images is proposed to generalize PS applicable to a wider range of surfaces with non-Lambertian reflectances. The proposed method not only estimates surface orientations from diffuse reflection but also exploits information from specularities owing to the proposed diffuse-specular separation algorithm. Using the proposed PS method, material-dependent features can be simultaneously extracted in addition to surface orientations, which offers much richer information in understanding the 3D scene and poses more potential functionalities, such as specular removal, intrinsic image decomposition, digital relighting, material-based segmentation, material transfer and material classification. The second contribution is the development of an SNI method dealing with perspective distortion. The proposed SNI is performed on the image plane instead of on the target surface as did by orthographic SNI owing to the newly derived representation of surface normals. The motivation behind the representation is from the observation that spatially uniform image points are simpler for integration than the non-uniform distribution of surface points under perspective projection. The new representation is then manipulated to the so-called log gradient space in analogy to the gradient space in orthographic SNI. With this analogy, the proposed method can inherit most past algorithms developed for orthographic SNI. By applying the proposed SNI, perspective distortion can be efficiently tackled with for smooth surfaces. In addition, the method is PS-independent, which can keep the image irradiance equation in a simple form during PS. The third contribution is the design and calibration of a 3D micro-scale shape reconstruction system using the derived PS and SNI methods. This system is originally designed for on-site measurement of pavement microtexture, while its applicability can be generalized to a wider range of surfaces. Optimal illumination was investigated in theory and through numerical simulations. Five different calibrations regarding various aspects of the system were either newly proposed or modified from existing methods. The performances of these calibrations were individually evaluated. Efficacy of the developed system was finally demonstrated through comprehensive comparative studies with existing systems. Its capability for on-site measurement was also confirmed.
Ph. D.
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Carassou, Sébastien. "Inferring the photometric and size evolution of galaxies from image simulations." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066382/document.

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Les contraintes actuelles sur l'évolution en luminosité et en taille des galaxies dépendent de catalogues multi-bandes extraits de relevés d'imagerie. Mais ces catalogues sont altérés par des effets de sélection difficiles à modéliser et pouvant mener à des résultats contradictoires s'ils ne sont pas bien pris en compte. Dans cette thèse nous avons développé une nouvelle méthode pour inférer des contraintes robustes sur les modèles d'évolution des galaxies. Nous utilisons un modèle empirique générant une distribution de galaxies synthétiques à partir de paramètres physiques. Ces galaxies passent par un simulateur d'image émulant les propriétés instrumentales de n'importe quel relevé et sont extraites de la même façon que les données observées pour une comparaison directe. L'écart entre vraies et fausses données est minimisé via un échantillonnage basé sur des chaînes de Markov adaptatives. A partir de donnée synthétiques émulant les propriétés du Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) Deep, nous démontrons la cohérence interne de notre méthode en inférant les distributions de taille et de luminosité et leur évolution de plusieurs populations de galaxies. Nous comparons nos résultats à ceux obtenus par la méthode classique d'ajustement de la distribution spectrale d'énergie (SED) et trouvons que notre pipeline infère efficacement les paramètres du modèle en utilisant seulement 3 filtres, et ce plus précisément que par ajustement de la SED à partir des mêmes observables. Puis nous utilisons notre pipeline sur une fraction d'un champ du CFHTLS Deep pour contraindre ces mêmes paramètres. Enfin nous soulignons le potentiel et les limites de cette méthode
Current constraints on the luminosity and size evolution of galaxies rely on catalogs extracted from multi-band surveys. However resulting catalogs are altered by selection effects difficult to model and that can lead to conflicting predictions if not taken into account properly. In this thesis we have developed a new approach to infer robust constraints on model parameters. We use an empirical model to generate a set of mock galaxies from physical parameters. These galaxies are passed through an image simulator emulating the instrumental characteristics of any survey and extracted in the same way as from observed data for direct comparison. The difference between mock and observed data is minimized via a sampling process based on adaptive Monte Carlo Markov Chain methods. Using mock data matching most of the properties of a Canada-France-Hawaii Telescope Legacy Survey Deep (CFHTLS Deep) field, we demonstrate the robustness and internal consistency of our approach by inferring the size and luminosity functions and their evolution parameters for realistic populations of galaxies. We compare our results with those obtained from the classical spectral energy distribution (SED) fitting method, and find that our pipeline infers the model parameters using only 3 filters and more accurately than SED fitting based on the same observables. We then apply our pipeline to a fraction of a real CFHTLS Deep field to constrain the same set of parameters in a way that is free from systematic biases. Finally, we highlight the potential of this technique in the context of future surveys and discuss its drawbacks
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Forne, Christopher Jes. "3-D Scene Reconstruction from Multiple Photometric Images." Thesis, University of Canterbury. Electrical and Computer Engineering, 2007. http://hdl.handle.net/10092/1227.

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This thesis deals with the problem of three dimensional scene reconstruction from multiple camera images. This is a well established problem in computer vision and has been significantly researched. In recent years some excellent results have been achieved, however existing algorithms often fall short of many biological systems in terms of robustness and generality. The aim of this research was to develop improved algorithms for reconstructing 3D scenes, with a focus on accurate system modelling and correctly dealing with occlusions. With scene reconstruction the objective is to infer scene parameters describing the 3D structure of the scene from the data given by camera images. This is an illposed inverse problem, where an exact solution cannot be guaranteed. The use of a statistical approach to deal with the scene reconstruction problem is introduced and the differences between maximum a priori (MAP) and minimum mean square estimate (MMSE) considered. It is discussed how traditional stereo matching can be performed using a volumetric scene model. An improved model describing the relationship between the camera data and a discrete model of the scene is presented. This highlights some of the common causes of modelling errors, enabling them to be dealt with objectively. The problems posed by occlusions are considered. Using a greedy algorithm the scene is progressively reconstructed to account for visibility interactions between regions and the idea of a complete scene estimate is established. Some simple and improved techniques for reliably assigning opaque voxels are developed, making use of prior information. Problems with variations in the imaging convolution kernel between images motivate the development of a pixel dissimilarity measure. Belief propagation is then applied to better utilise prior information and obtain an improved global optimum. A new volumetric factor graph model is presented which represents the joint probability distribution of the scene and imaging system. By utilising the structure of the local compatibility functions, an efficient procedure for updating the messages is detailed. To help convergence, a novel approach of accentuating beliefs is shown. Results demonstrate the validity of this approach, however the reconstruction error is similar or slightly higher than from the Greedy algorithm. To simplify the volumetric model, a new approach to belief propagation is demonstrated by applying it to a dynamic model. This approach is developed as an alternative to the full volumetric model because it is less memory and computationally intensive. Using a factor graph, a volumetric known visibility model is presented which ensures the scene is complete with respect to all the camera images. Dynamic updating is also applied to a simpler single depth-map model. Results show this approach is unsuitable for the volumetric known visibility model, however, improved results are obtained with the simple depth-map model.
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Yoonessi, Ali. "The role of natural image structure in visual detection of photometric changes." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=21997.

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Traditionally, human visual sensitivity changes in luminance and chromatic contrast, collectively termed photometric changes, have been measured using simple laboratory stimuli such as disks or gratings. The results of experiments using such stimuli have generally been accounted for in terms of relatively low-level mechanisms such as quasi-linear filters in the visual cortex. Therefore, one might not expect the higher-order structure of natural scenes to influence sensitivity to uniform photometric changes. On the other hand, it is believed that the visual system is optimized for analyzing visual information in natural scenes, which leads to the alternative hypothesis that the unique structure of natural scenes will influence sensitivity to photometric changes. We tested between these two hypotheses by comparing sensitivity to uniform photometric changes in natural scenes with sensitivity to uniform photometric changes in the same scenes with the structure removed through phase scrambling. Sensitivity was found to be higher in the natural compared to phase-scrambled scenes. Additional experiments ruled out the possibility that the higher sensitivity in the natural scenes was due to one's familiarity with their colors, or that the lower sensitivity in the phase-scrambled scenes was due to the increase in color variability introduced by phase scrambling. In another series of experiments sensitivity to uniform photometric transformations in both natural and phase-scrambled scene was measured in dichoptic image-pairs that were transformed in equal and opposite directions. The results suggested that the superiority in sensitivity in natural scenes resulted from mechanisms operating at or after the point of binocular combination. Finally we considered whether the superiority in sensitivity in natural compared to phase-scrambled scenes was underpinned by one of the defining characteristics of natural scenes: the presence of uniform areas separated by edges. This require
Le rôle de la structure des images naturelles dans la sensibilité visuelle aux changements photométriques uniformes Chez l'être humain, les changements dans la sensibilité visuelle aux contrastes chromatiques et achromatiques, appelés changements photométriques, sont traditionnellement mesurés à l'aide de stimuli simples tels que des disques ou des réseaux de bars. Les résultats de ces études reposent généralement sur des mécanismes de bas-niveau tels que les filtres quasi-linéaires du cortex visuel, qui prédisent que la structure des scènes naturelles ne devrait pas influencer la sensibilité aux changements photométriques. D'un autre coté a été émise l'hypothèse selon laquelle le système visuel est optimisé pour l'analyse de l'information présente dans les scènes naturelles, ce qui suggère que la structure unique des scènes naturelles pourrait influencer la sensibilité aux changements photométriques. Nous avons donc testé ces deux hypothèses en comparant la sensibilité aux changements photométriques uniformes pour des scènes naturelles dont la structure est soit restée intacte, soit éliminée par l'intermédiaire d'un brouillage de leur information de phase. Les résultats de cette étude démontrent que la sensibilité est plus grande pour les scènes naturelles intactes que leurs versions ‘brouillées'. Des expériences complémentaires excluent la possibilité que la sensibilité plus élevée pour les scènes naturelles soit due à une familiarisation à leurs couleurs, ou la possibilité que la sensibilité plus faible pour leurs versions brouillées soit due à l'augmentation de la variabilité chromatique induite par le brouillage de phase. Dans une autre série d'expériences, la sensibilité aux changements photométriques uniformes pour les scènes intactes et brouillées a été mesurée pour des paires d'images présentées dichoptiquement et pour lesquelles les changements photométriques ont été appliqu
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Cartwright, Stephen J. "Application of digital image processing techniques to the photometric testing of vehicle headlamps." Thesis, Aston University, 1986. http://publications.aston.ac.uk/14614/.

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The aim of this Interdisciplinary Higher Degrees project was the development of a high-speed method of photometrically testing vehicle headlamps, based on the use of image processing techniques, for Lucas Electrical Limited. Photometric testing involves measuring the illuminance produced by a lamp at certain points in its beam distribution. Headlamp performance is best represented by an iso-lux diagram, showing illuminance contours, produced from a two-dimensional array of data. Conventionally, the tens of thousands of measurements required are made using a single stationary photodetector and a two-dimensional mechanical scanning system which enables a lamp's horizontal and vertical orientation relative to the photodetector to be changed. Even using motorised scanning and computerised data-logging, the data acquisition time for a typical iso-lux test is about twenty minutes. A detailed study was made of the concept of using a video camera and a digital image processing system to scan and measure a lamp's beam without the need for the time-consuming mechanical movement. Although the concept was shown to be theoretically feasible, and a prototype system designed, it could not be implemented because of the technical limitations of commercially-available equipment. An alternative high-speed approach was developed, however, and a second prototype syqtem designed. The proposed arrangement again uses an image processing system, but in conjunction with a one-dimensional array of photodetectors and a one-dimensional mechanical scanning system in place of a video camera. This system can be implemented using commercially-available equipment and, although not entirely eliminating the need for mechanical movement, greatly reduces the amount required, resulting in a predicted data acquisiton time of about twenty seconds for a typical iso-lux test. As a consequence of the work undertaken, the company initiated an 80,000 programme to implement the system proposed by the author.
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Zou, Hu, Tianmeng Zhang, Zhimin Zhou, Jundan Nie, Xiyan Peng, Xu Zhou, Linhua Jiang, et al. "The First Data Release of the Beijing-Arizona Sky Survey." IOP PUBLISHING LTD, 2017. http://hdl.handle.net/10150/624694.

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The Beijing-Arizona Sky Survey (BASS) is a new wide-field legacy imaging survey in the northern Galactic cap using the 2.3 m Bok telescope. The survey will cover about 5400 deg(2) in the g and r bands, and the expected 5 sigma depths (corrected for the Galactic extinction) in these two bands are g = 24.0 and r = 23.4 mag (AB magnitude). BASS started observations in 2015 January. and had. completed about 41% of the. area as of 2016 July. The first data release contains calibrated images obtained in 2015 and 2016 and their corresponding single-epoch. and coadded catalogs. The actual depths of the. single-epoch images are g similar to 23.4 and r similar to 22.9 mag. The full depths of the. three epochs are g similar to 24.1 and r similar to 23.5 mag.
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Pekelsky, James Regan Carleton University Dissertation Engineering Electrical. "The automated ordering of moire fringe contours using local photometric modelling of surface shading." Ottawa, 1988.

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Bakthavatchalam, Manikandan. "Utilisation of photometric moments in visual servoing." Thesis, Rennes 1, 2015. http://www.theses.fr/2015REN1S057/document.

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Cette thèse s'intéresse à l'asservissement visuel, une technique de commande à retour d'information visuelle permettant de contrôler le mouvement de systèmes équipées de caméras tels que des robots. Pour l'asservissement visuel, il est essentiel de synthétiser les informations obtenues via la caméra et ainsi établir la relation entre l'évolution de ces informations et le déplacement de la caméra dans l'espace. Celles-ci se basent généralement sur l'extraction et le suivi de primitives géométriques comme des points ou des lignes droites dans l'image. Il a été montré que le suivi visuel et les méthodes de traitement d'images restent encore un frein à l'expansion des techniques d'asservissement visuel. C'est pourquoi la distribution de l'intensité lumineuse de l'image a également été utilisée comme caractéristique visuelle. Finalement, les caractéristiques visuelles basée sur les moments de l'image ont permis de définir des lois de commande découplées. Cependant ces lois de commande sont conditionnées par l'obtention d'une région parfaitement segmentée ou d'un ensemble discret de points dans la scène. Ce travail propose donc une stratégie de capture de l'intensité lumineuse de façon indirecte, par le biais des moments calculés sur toute l'image. Ces caractéristiques globales sont dénommées moments photométriques. Les développements théoriques établis dans cette thèse tendent à définir une modélisation analytique de la matrice d'interaction relative aux moments photométriques. Ces derniers permettent de réaliser une tâche d'asservissement visuel dans des scènes complexes sans suivi visuel ni appariement. Un problème pratique rencontré par cette méthode dense d'asservissement visuel est l'apparition et la disparition de portions de l'image durant la réalisation de la tâche. Ce type de problème peut perturber la commande, voire dans le pire des cas conduire à l’échec de la réalisation de la tâche. Afin de résoudre ce problème, une modélisation incluant des poids spatiaux est proposée. Ainsi, la pondération spatiale, disposant d'une structure spécifique, est introduite de telle sorte qu'un modèle analytique de la matrice d'interaction peut être obtenue comme une simple fonction de la nouvelle formulation des moments photométriques. Une partie de ce travail apporte également une contribution au problème de la commande simultanée des mouvements de rotation autour des axes du plan image. Cette approche définit les caractéristiques visuelles de façon à ce que l'asservissement soit optimal en fonction de critères spécifiques. Quelques critères de sélection basées sur la matrice d'interaction ont été proposés. Ce travail ouvre donc sur d'intéressantes perspectives pour la sélection d'informations visuelles pour l'asservissement visuel basé sur les moments de l'image
This thesis is concerned with visual servoing, a feedback control technique for controlling camera-equipped actuated systems like robots. For visual servoing, it is essential to synthesize visual information from the camera image in the form of visual features and establish the relationship between their variations and the spatial motion of the camera. The earliest visual features are dependent on the extraction and visual tracking of geometric primitives like points and straight lines in the image. It was shown that visual tracking and image processing procedures are a bottleneck to the expansion of visual servoing methods. That is why the image intensity distribution has also been used directly as a visual feature. Finally, visual features based on image moments allowed to design decoupled control laws but they are restricted by the availability of a well-segmented regions or a discrete set of points in the scene. This work proposes the strategy of capturing the image intensities not directly, but in the form of moments computed on the whole image plane. These global features have been termed photometric moments. Theoretical developments are made to derive the analytical model for the interaction matrix of the photometric moments. Photometric moments enable to perform visual servoing on complex scenes without visual tracking or image matching procedures, as long as there is no severe violation of the zero border assumption (ZBA). A practical issue encountered in such dense VS methods is the appearance and disappearance of portions of the scene during the visual servoing. Such unmodelled effects strongly violate the ZBA assumption and can disturb the control and in the worst case, result in complete failure to convergence. To handle this important practical problem, an improved modelling scheme for the moments that allows for inclusion of spatial weights is proposed. Then, spatial weighting functions with a specific structure are exploited such that an analytical model for the interaction matrix can be obtained as simple functions of the newly formulated moments. A part of this work provides an additional contribution towards the problem of simultaneous control of rotational motions around the image axes. The approach is based on connecting the design of the visual feature such that the visual servoing is optimal with respect to specific criteria. Few selection criteria based on the interaction matrix was proposed. This contribution opens interesting possibilities and finds immediate applications in the selection of visual features in image moments-based VS
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Books on the topic "Photometric image"

1

Cartwright, Stephen John. Application of digital image processing techniques to the photometric testing of vehicle headlamps. Birmingham: Aston University. Department of Vision Sciences, 1986.

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A, Barker L., and George C. Marshall Space Flight Center., eds. Test and model correlation of the atmospheric emission photometric imager fiberglass pedestal. [Marshall Space Flight Center, Ala.]: National Aeronautics and Space Administration, George C. Marshall Space Flight Center, 1990.

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Book chapters on the topic "Photometric image"

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Smith, Melvyn, and Lyndon Smith. "Dynamic Photometric Stereo." In Image Analysis and Processing – ICIAP 2005, 826–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553595_101.

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Capel, David. "Registration: Geometric and Photometric." In Image Mosaicing and Super-resolution, 17–45. London: Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-384-8_3.

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Mecca, Roberto, and Jean-Denis Durou. "Unambiguous Photometric Stereo Using Two Images." In Image Analysis and Processing – ICIAP 2011, 286–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24085-0_30.

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Bylow, Erik, Robert Maier, Fredrik Kahl, and Carl Olsson. "Combining Depth Fusion and Photometric Stereo for Fine-Detailed 3D Models." In Image Analysis, 261–74. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20205-7_22.

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Cantoni, V., L. Carrioli, M. Diani, M. Savini, and G. Vecchio. "Photometric Approach to Tracking of Moving Objects." In Image Analysis and Processing II, 253–60. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1007-5_27.

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Lladó, Xavier, Joan Martí, and Maria Petrou. "Image Texture Prediction Using Colour Photometric Stereo." In Lecture Notes in Computer Science, 355–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36079-4_31.

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Diaz, Mauricio, and Peter Sturm. "Exploiting Image Collections for Recovering Photometric Properties." In Computer Analysis of Images and Patterns, 253–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23678-5_29.

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Hamaen, Koumei, Daisuke Miyazaki, and Shinsaku Hiura. "Multispectral Photometric Stereo Using Intrinsic Image Decomposition." In Communications in Computer and Information Science, 289–304. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4818-5_22.

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Bellaire, G., K. Schlüns, A. Mitritz, and K. Gwinner. "Adaptive matching using object modes generated from photometric stereo images." In Image Analysis and Processing, 293–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60298-4_273.

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Magri, Luca, Roberto Toldo, Umberto Castellani, and Andrea Fusiello. "A Matrix Decomposition Perspective on Calibrated Photometric Stereo." In Image Analysis and Processing - ICIAP 2017, 507–17. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68560-1_45.

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Conference papers on the topic "Photometric image"

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Draper, R. J. "Reflective photometric stereo." In 6th International Conference on Image Processing and its Applications. IEE, 1997. http://dx.doi.org/10.1049/cp:19970926.

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Yang, Jun, Noboru Ohnishi, and Noboru Sugie. "Two-image photometric stereo method." In Applications in Optical Science and Engineering, edited by David P. Casasent. SPIE, 1992. http://dx.doi.org/10.1117/12.131622.

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Nefian, Ara V., Oleg Alexandrov, Zachary Moratto, Taemin Kim, and Ross A. Beyer. "Photometric Lunar surface reconstruction." In 2013 20th IEEE International Conference on Image Processing (ICIP). IEEE, 2013. http://dx.doi.org/10.1109/icip.2013.6738485.

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Tai-Pang Wu and Chi-Keung Tang. "Separating Subsurface Scattering from Photometric Image." In 18th International Conference on Pattern Recognition (ICPR'06). IEEE, 2006. http://dx.doi.org/10.1109/icpr.2006.1046.

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Gimelfarb, G., Jiang Li, J. Morris, and P. Delmas. "Concurrent Stereo under Photometric Image Distortions." In 18th International Conference on Pattern Recognition (ICPR'06). IEEE, 2006. http://dx.doi.org/10.1109/icpr.2006.401.

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Lo, I.-Chan, Kuang-Tsu Shih, Gwo-Hwa Ju, and Homer H. Chen. "Photometric Consistency For Dual Fisheye Cameras." In 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020. http://dx.doi.org/10.1109/icip40778.2020.9190784.

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Schweighofer, G. "Groupwise Geometric and Photometric Direct Image Registration." In British Machine Vision Conference 2006. British Machine Vision Association, 2006. http://dx.doi.org/10.5244/c.20.17.

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Luong, Hiep Quang, Bart Goossens, Aleksandra Pizurica, and Wilfried Philips. "Consistent joint photometric and geometric image registration." In 2010 17th IEEE International Conference on Image Processing (ICIP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icip.2010.5651816.

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Xu, Di, Jianfei Cai, Jianmin Zheng, and Juyong Zhang. "Photometric stereo using mesh face based optimization." In 2016 Visual Communications and Image Processing (VCIP). IEEE, 2016. http://dx.doi.org/10.1109/vcip.2016.7805426.

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Saman, Gule, and Edwin Hancock. "Refractive index estimation using photometric stereo." In 2011 18th IEEE International Conference on Image Processing (ICIP 2011). IEEE, 2011. http://dx.doi.org/10.1109/icip.2011.6115847.

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Reports on the topic "Photometric image"

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Jackson, Bernard V., Andrew Buffington, and P. P. Hick. Development of Data Analysis Techniques to Provide Photometric Images for a Heliospheric Imager. Fort Belvoir, VA: Defense Technical Information Center, October 2008. http://dx.doi.org/10.21236/ada519141.

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