Relevant bibliographies by topics / Structured light 3D scanning

Academic literature on the topic 'Structured light 3D scanning'

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Published: 10 March 2023

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Journal articles on the topic "Structured light 3D scanning"

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Zahia, Sofia, Begonya Garcia-Zapirain, Jon Anakabe, Joan Ander, Oscar Jossa Bastidas, and Alberto Loizate Totoricagüena. "A Comparative Study between Scanning Devices for 3D Printing of Personalized Ostomy Patches." Sensors 22, no. 2 (January 12, 2022): 560. http://dx.doi.org/10.3390/s22020560.

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This papers presents a comparative study of three different 3D scanning modalities to acquire 3D meshes of stoma barrier rings from ostomized patients. Computerized Tomography and Structured light scanning methods were the digitization technologies studied in this research. Among the Structured Light systems, the Go!Scan 20 and the Structure Sensor were chosen as the handheld 3D scanners. Nineteen ostomized patients took part in this study, starting from the 3D scans acquisition until the printed ostomy patches validation. 3D mesh processing, mesh generation and 3D mesh comparison was carried out using commercial softwares. The results of the presented study show that the Structure Sensor, which is the low cost structured light 3D sensor, has a great potential for such applications. This study also discusses the benefits and reliability of low-cost structured light systems.
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van der Lucht, J., M. Bleier, F. Leutert, K. Schilling, and A. Nüchter. "STRUCTURED-LIGHT BASED 3D LASER SCANNING OF SEMI-SUBMERGED STRUCTURES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2 (May 28, 2018): 287–94. http://dx.doi.org/10.5194/isprs-annals-iv-2-287-2018.

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In this work we look at 3D acquisition of semi-submerged structures with a triangulation based underwater laser scanning system. The motivation is that we want to simultaneously capture data above and below water to create a consistent model without any gaps. The employed structured light scanner consist of a machine vision camera and a green line laser. In order to reconstruct precise surface models of the object it is necessary to model and correct for the refraction of the laser line and camera rays at the water-air boundary. We derive a geometric model for the refraction at the air-water interface and propose a method for correcting the scans. Furthermore, we show how the water surface is directly estimated from sensor data. The approach is verified using scans captured with an industrial manipulator to achieve reproducible scanner trajectories with different incident angles. We show that the proposed method is effective for refractive correction and that it can be applied directly to the raw sensor data without requiring any external markers or targets.
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Todorov, Todor, and Nikolay Noev. "Technology of Three-Dimensional Scanning “Structured Light”." Digital Presentation and Preservation of Cultural and Scientific Heritage 4 (September 30, 2014): 87–94. http://dx.doi.org/10.55630/dipp.2014.4.10.

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Protection and preservation of cultural and historical heritage are particularly relevant today. The paper presents essence and challenges in the process of three-dimensional scanning of objects. Special attention is paid to the methodology of 3D scanning of cultural artifacts.
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Peng, Bin, Hai Shu Tan, and Fu Qiang Zhou. "Three-Dimensional Scanning System with Double Structured-Light Sensors." Applied Mechanics and Materials 226-228 (November 2012): 1938–41. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.1938.

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Three-dimensional (3D) vision scanning measurement is widely used in industry for its ability to obtain the 3D surface data of the object. Aiming at overcoming the shortcomings of 3D scanning measurement system with single structured-light sensor, such as limited measurement range and blind measurement area, a scanning system based on double structured-light sensors (DSS) is established. The object is scanned from two different directions, and the 3D surface coordinates are unified to the measurement coordinate system to obtain the 3D surface of the measured object. In this paper, the mathematical model of the DSS scanning system is established. Meanwhile, an on-site calibration approach based on planar target is proposed to complete the system calibration task. Finally, experimental results of practical data are given to show the feasibility and validity of the proposed system.
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Ahn, Byeongjoo, Ioannis Gkioulekas, and Aswin C. Sankaranarayanan. "Kaleidoscopic structured light." ACM Transactions on Graphics 40, no. 6 (December 2021): 1–15. http://dx.doi.org/10.1145/3478513.3480524.

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Full surround 3D imaging for shape acquisition is essential for generating digital replicas of real-world objects. Surrounding an object we seek to scan with a kaleidoscope, that is, a configuration of multiple planar mirrors, produces an image of the object that encodes information from a combinatorially large number of virtual viewpoints. This information is practically useful for the full surround 3D reconstruction of the object, but cannot be used directly, as we do not know what virtual viewpoint each image pixel corresponds---the pixel label. We introduce a structured light system that combines a projector and a camera with a kaleidoscope. We then prove that we can accurately determine the labels of projector and camera pixels, for arbitrary kaleidoscope configurations, using the projector-camera epipolar geometry. We use this result to show that our system can serve as a multi-view structured light system with hundreds of virtual projectors and cameras. This makes our system capable of scanning complex shapes precisely and with full coverage. We demonstrate the advantages of the kaleidoscopic structured light system by scanning objects that exhibit a large range of shapes and reflectances.
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Chiu, Chuang-Yuan, David L. Pease, Samantha Fawkner, and Ross H. Sanders. "Automated body volume acquisitions from 3D structured-light scanning." Computers in Biology and Medicine 101 (October 2018): 112–19. http://dx.doi.org/10.1016/j.compbiomed.2018.07.016.

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Gao, He, Fuqiang Zhou, Bin Peng, Yexin Wang, and Haishu Tan. "3D Wide FOV Scanning Measurement System Based on Multiline Structured-Light Sensors." Advances in Mechanical Engineering 6 (January 1, 2014): 758679. http://dx.doi.org/10.1155/2014/758679.

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Structured-light three-dimensional (3D) vision measurement is currently one of the most common approaches to obtain 3D surface data. However, the existing structured-light scanning measurement systems are primarily constructed on the basis of single sensor, which inevitably generates three obvious problems: limited measurement range, blind measurement area, and low scanning efficiency. To solve these problems, we developed a novel 3D wide FOV scanning measurement system which adopted two multiline structured-light sensors. Each sensor is composed of a digital CCD camera and three line-structured-light projectors. During the measurement process, the measured object is scanned by the two sensors from two different angles at a certain speed. Consequently, the measurement range is expanded and the blind measurement area is reduced. More importantly, since six light stripes are simultaneously projected on the object surface, the scanning efficiency is greatly improved. The Multiline Structured-light Sensors Scanning Measurement System (MSSS) is calibrated on site by a 2D pattern. The experimental results show that the RMS errors of the system for calibration and measurement are less than 0.092 mm and 0.168 mm, respectively, which proves that the MSSS is applicable for obtaining 3D object surface with high efficiency and accuracy.
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Papas, Nikolaos, Konstantinos Tsongas, Dimitrios Karolidis, and Dimitrios Tzetzis. "A COMPARISON OF LASER AND STRUCTURED LIGHT SCANNING TECHNOLOGIES FOR ARCHAEOLOGICAL APPLICATIONS." International Journal of Modern Manufacturing Technologies 13, no. 3 (December 25, 2021): 111–16. http://dx.doi.org/10.54684/ijmmt.2021.13.3.111.

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Reverse engineering and in particular three-dimensional digitization have become an essential part of the documentation of archaeological findings. 3D scanning produces a high-precision digital reference document. The factors that influence the quality of the 3D scanned data are the scanned object’s surface colour, its glossiness and geometry, and the ambient light during the scanning process. However, the actual equipment and scanning technologies are of primary importance. The current paper presents a qualitative and quantitative comparison between two 3D scanning devices of different technologies; structured light 3D scanning and laser 3D scanning. The benchmark for this comparison is an ancient Roman vase from the city of Thessaloniki, Greece. The object was scanned with every possible setting on each scanner, but only one configuration of settings on each device was selected for the final comparison. The main criterion for the final selection of the two 3D models acquired with the use of the two technologies was the proximity in the number of points and polygons produced for digitally restoring the ancient vase in the best possible way. The results indicate important differences regarding the accuracy of the final digital model. The laser technology produced better accuracy but with a significant cost in scanning time and model data size. On the other hand, the structured light technology achieved the optimal combination of scanning quality and accuracy, along with reduced acquisition time of scan data.
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Shi, Huifeng, Xianqiang Liu, Rui Wu, Yijing Zheng, Yonghe Li, Xiaopeng Cheng, Wilhelm Pfleging, and Yuefei Zhang. "In Situ SEM Observation of Structured Si/C Anodes Reactions in an Ionic-Liquid-Based Lithium-Ion Battery." Applied Sciences 9, no. 5 (March 6, 2019): 956. http://dx.doi.org/10.3390/app9050956.

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In situ scanning electron microscopy (SEM) offers a good way to investigate the structural evolution during lithiation and delithiation processes. In this paper, the dynamical morphological evolution of 3D-line-structured/unstructured Si/C composite electrodes was observed by in situ SEM. The investigation revealed the microstructural origin of large charge capacity for 3D-line-structured anodes. Based on this proposed mechanism, a coarse optimization of 3D-line-structured anodes was proposed. These results shed light on the unique advantages of using an in situ SEM technique when studying realistic bulk batteries and designing 3D electrode structures.
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Kalisperakis, Ilias, Lazaros Grammatikopoulos, Elli Petsa, and George Karras. "A Structured-Light Approach for the Reconstruction of Complex Objects." Geoinformatics FCE CTU 6 (December 21, 2011): 259–66. http://dx.doi.org/10.14311/gi.6.32.

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Recently, one of the central issues in the fields of Photogrammetry, Computer Vision, Computer Graphics and Image Processing is the development of tools for the automatic reconstruction of complex 3D objects. Among various approaches, one of the most promising is Structured Light 3D scanning (SL) which combines automation and high accuracy with low cost, given the steady decrease in price of cameras and projectors. SL relies on the projection of different light patterns, by means of a video projector, on 3D object sur faces, which are recorded by one or more digital cameras. Automatic pattern identification on images allows reconstructing the shape of recorded 3D objects via triangulation of the optical rays corresponding to projector and camera pixels. Models draped with realistic phototexture may be thus also generated, reproducing both geometry and appearance of the 3D world. In this context, subject of our research is a synthesis of state-of-the-art as well as the development of novel algorithms, in order to implement a 3D scanning system consisting, at this stage, of one consumer digital camera (DSLR) and a video projector. In the following, the main principles of structured light scanning and the algorithms implemented in our system are presented, and results are given to demonstrate the potential of such a system. Since this work is part of an ongoing research project, future tasks are also discussed.
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Dissertations / Theses on the topic "Structured light 3D scanning"

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Törnblom, Nils. "Underwater 3D Surface Scanning using Structured Light." Thesis, Uppsala universitet, Centrum för bildanalys, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-138205.

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In this thesis project, an underwater 3D scanner based on structured light has been constructed and developed. Two other scanners, based on stereoscopy and a line-swept laser, were also tested. The target application is to examine objects inside the water filled reactor vessel of nuclear power plants. Structured light systems (SLS) use a projector to illuminate the surface of the scanned object, and a camera to capture the surfaces' reflection. By projecting a series of specific line-patterns, the pixel columns of the digital projector can be identified off the scanned surface. 3D points can then be triangulated using ray-plane intersection. These points form the basis the final 3D model. To construct an accurate 3D model of the scanned surface, both the projector and the camera need to be calibrated. In the implemented 3D scanner, this was done using the Camera Calibration Toolbox for Matlab. The codebase of this scanner comes from the Matlab implementation by Lanman & Taubin at Brown University. The code has been modified and extended to meet the needs of this project. An examination of the effects of the underwater environment has been performed, both theoretically and experimentally. The performance of the scanner has been analyzed, and different 3D model visualization methods have been tested. In the constructed scanner, a small pico projector was used together with a high pixel count DSLR camera. Because these are both consumer level products, the cost of this system is just a fraction of commercial counterparts, which uses professional components. Yet, thanks to the use of a high pixel count camera, the measurement resolution of the scanner is comparable to the high-end of industrial structured light scanners.
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Schmalz, Christoph [Verfasser], and Joachim [Akademischer Betreuer] Hornegger. "Robust Single-Shot Structured Light 3D Scanning = Robuste 3D-Vermessung mit strukturierter Beleuchtung in Einzelbildern / Christoph Schmalz. Betreuer: Joachim Hornegger." Erlangen : Universitätsbibliothek der Universität Erlangen-Nürnberg, 2012. http://d-nb.info/1021570842/34.

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Bátrla, Martin. "Výzkumný 3D skener pro účely skenování problematických povrchů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-401059.

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This diploma thesis deals with design of 3D scanner for scanning problematic surfaces. The research part introduces the problem of 3D scanning and describes causes of random errors. Further, it contains a description and division of methods that leads to their elimination. The practical part of the thesis deals with design and description of hardware and software parts of the 3D scanner. The output of this work is device that is able to implement and compare quality of codification methods mainly for scanning of problematic surfaces. The functionality of equipment was verified by experimental measurement.
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Holland, Andrew D. "Examining the taphonomic challenges to the 3D digitisation of fragmented bone." Thesis, University of Bradford, 2017. http://hdl.handle.net/10454/15180.

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The utilisation of 3D digitisation and visualisation has grown considerably since 2008 and is becoming an increasingly useful tool for the digital documentation and metric analysis of archaeological artefacts and skeletal remains. It provides public access to rare and fragile specimens of palaeontological and palaeopathological importance whilst reducing the physical impact on these remains. Research in engineering and computer vision provides some insight into the impact of surface properties such as colour, specularity, reflectance and shape on the quality of the recorded 3D image, but within the archaeological and palaeontological disciplines comparable work has not yet been developed. If archaeology and anthropology are to provide long term reliable data from archaeological and palaeontological specimens in a way that doesn’t require repeated re-digitisation, we need to understand the impacts that the taphonomic histories of such samples have on our ability to 3D record them. Understanding the relationship of these taphonomic histories and the surface and optical properties will promote informed choices about the suitability of recording techniques. This thesis considers the taphonomic processes that affect the preservation of bone over archaeological, forensic and palaeontological timescales and the effect this has on the quality of 3D digital models. The digital refit of fragmentary bone samples is considered in relation to the effect of taphonomic alterations to bone. Conclusions regarding the key taphonomic factors and 3D digital model quality are drawn and areas of further work are identified.
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Holtzhausen, Stefan. "Erfassungsplanung nach dem Optimierungsprinzip am Beispiel des Streifenprojektionsverfahrens." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-173373.

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Die vorliegende Arbeit befasst sich mit der Erfassung von Oberflächen mittels Streifenprojektionsverfahren. Dabei wird ein Berechnungsmodell erarbeitet, welches den durch eine Aufnahme erfassten Bereich der Objektoberfläche berechnet und bewertet. Mithilfe einer optimalen Positionierung von Einzelaufnahmen ist es möglich, ein Objekt bei festgelegten Randbedingungen zeitsparend zu erfassen.
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Wu, Christy. "Reverse Engineering med hjälp av 3D-skanning." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185789.

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Inom området maskinteknik finns idag ett stort intresse för Reverse Engineering med hjälp av 3Dskanning. Tekniken utgår ifrån att skapa Computer-Aided-Design (CAD) modeller av reala objekt. Föreliggande projekt utfördes vid institutionen för tillämpad fysik och elektronik vid Umeå universitetet i syfte att utvärdera prestationen av Reverse Engineering av objekt som är utmanade at rita direkt i CAD-program. Fyra olika fysiska objekt valdes för analys: en bult, en tolvkantshylsa, en propeller och ett snäckhjul; det sistnämnda tillhandahållen av företaget Rototilt Group AB. Objekten avbildades med en 3D-skannare som använder sig av metoden strukturerat ljus för att läsa in objektens form och har en noggrannhet på 0,04 mm. De 3Davbildade objekten redigerades sedan och CAD-ritningar skapades. Slutligen skrevs CADmodellerna ut med hjälp av en 3D-skrivare och en toleransanalys med gränsvärdet 0,2 mmutfördes för att jämföra dimensionerna av originalobjekten, de olika digitala modellerna samt de utskrivna objekten. Resultatet visar att Reverse Engineering (med vissa begränsningar) är en bra metod för objekt som är utmanade att modellera i CAD. Med tekniken kan fysiska objektrekonstrueras till CAD-modeller snabbt och med hög noggrannhet.
In the field of mechanical engineering, there is an increasing interest in Reverse Engineering using 3D-scanning. The technology is based on creating Computer-Aided-Design (CAD) models of real objects. The present project was carried out at the Department of Applied Physics and Electronics at Umeå University in order to evaluate the performance of Reverse Engineering of objects that are challenging to draw directly in CAD programs. Four different physical objects were selected for analysis: a bolt, a hex socket, a propeller and a worm wheel; the latter provided by the company Rototilt Group AB. A structured light 3D-scanner with a specified accuracy of 0,04 mm was used to image the objects. The 3D images were then post-processed and transferred to CAD software to create the CAD drawings. Finally, the CAD-models were printed with a 3D printer and a tolerance analysis with a limit of 0,2 mm was performed to compare the dimensions of the original objects, the different digital models and the printed objects. The results show that Reverse Engineering (with some limitations) is a good method for objects that are difficult to model in CAD. The technique is well-suited to reconstruct physical objects into CAD-models quickly and with high accuracy.
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Walter, Viktor. "Projekce dat do scény." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-240823.

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The focus of this thesis is the cooperation of cameras and projectors in projection of data into a scene. It describes the means and theory necessary to achieve such cooperation, and suggests tasks for demonstration. A part of this project is also a program capable of using a camera and a projector to obtain necessary parameters of these devices. The program can demonstrate the quality of this calibration by projecting a pattern onto an object according to its current pose, as well as reconstruct the shape of an object with structured light. The thesis also describes some challenges and observations from development and testing of the program.
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Chakib, Reda. "Acquisition et rendu 3D réaliste à partir de périphériques "grand public"." Thesis, Limoges, 2018. http://www.theses.fr/2018LIMO0101/document.

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L'imagerie numérique, de la synthèse d'images à la vision par ordinateur est en train de connaître une forte évolution, due entre autres facteurs à la démocratisation et au succès commercial des caméras 3D. Dans le même contexte, l'impression 3D grand public, qui est en train de vivre un essor fulgurant, contribue à la forte demande sur ce type de caméra pour les besoins de la numérisation 3D. L'objectif de cette thèse est d'acquérir et de maîtriser un savoir-faire dans le domaine de la capture/acquisition de modèles 3D en particulier sur l'aspect rendu réaliste. La réalisation d'un scanner 3D à partir d'une caméra RGB-D fait partie de l'objectif. Lors de la phase d'acquisition, en particulier pour un dispositif portable, on est confronté à deux problèmes principaux, le problème lié au référentiel de chaque capture et le rendu final de l'objet reconstruit
Digital imaging, from the synthesis of images to computer vision isexperiencing a strong evolution, due among other factors to the democratization and commercial success of 3D cameras. In the same context, the consumer 3D printing, which is experiencing a rapid rise, contributes to the strong demand for this type of camera for the needs of 3D scanning. The objective of this thesis is to acquire and master a know-how in the field of the capture / acquisition of 3D models in particular on the rendered aspect. The realization of a 3D scanner from a RGB-D camera is part of the goal. During the acquisition phase, especially for a portable device, there are two main problems, the problem related to the repository of each capture and the final rendering of the reconstructed object
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Robinson, Alan. "Surface scanning with uncoded structured light sources." Thesis, Sheffield Hallam University, 2005. http://shura.shu.ac.uk/20284/.

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Structured Light Scanners measure the surface of a target object, producing a set of vertices which can be used to construct a three-dimensional model of the surface. The techniques are particularly appropriate for measuring the smoothly undulating, featureless forms which Stereo Vision methods find difficult, and the structured light pattern explicitly gives a dense graph of connected vertices, thus obviating the need for vertex-triangulation prior to surface reconstruction. In addition, the technique provides the measurements almost instantaneously, and so is suitable for scanning moving and non-rigid objects. Because of these advantages there is an imperative to extend the range of scannable surfaces to those including occlusions, which often reduce or prevent successful measurement. This thesis investigates ways of improving both the accuracy and the range of surface types which can be scanned using structured light techniques, extending current research by examining the role of occlusions and geometric constraints, and introducing novel algorithms to solve the Indexing Problem. The Indexing Problem demands that for every pattern element in the projected image, its counterpart, reflected from the surface of the target object, must be found in the recorded image, and most researchers have declared this problem to be intractable without resorting to coding schemes which uniquely identify each pattern element. The use of uncoded projection patterns, where the pattern elements are projected without any unique identification, has two advantages: firstly it provides the densest possible set of measured vertices within a single video timeframe, and secondly it allows the investigation of the fundamental problems without the distraction of dealing with coding schemes. These advantages educe the general strategy adopted in this thesis, of attempting to solve the Indexing Problem using uncoded patterns, and then adding some coding where difficulties still remain. In order to carry out these investigations it is necessary to precisely measure the system and its outputs, and to achieve this requirement two scanners have been built, a Single Stripe Scanner and a Multiple Stripe Scanner. The Single Stripe Scanner introduces the geometric measurement methods and provides a reference output which matches the industry standard; the Multiple Stripe Scanner then tests the results of the investigations and evaluates the success of the new algorithms and constraints. In addition, some of the investigations are tested theoretically, by using synthetic data and by the solution of geometric diagrams. These evaluations of success show that, if occlusions are not present in the recorded data, the Indexing Problem can often be completely solved if the new indexing algorithms and geometric constraints are included. Furthermore, while there are some cases where the Indexing Problem cannot be solved without recourse to a coding scheme, the addition of occlusion detection in the algorithms greatly improves the indexing accuracy and therefore the successful measurement of the target surface.
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Pistellato, Mara <1991&gt. "Structured-light 3D reconstruction and applications." Doctoral thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/17850.

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An increasing number of modern Computer Vision applications rely on the usage of depth data, allowing the accomplishment of several tasks otherwise being complex or impractical. As a consequence, a large amount of 3D acquisition methods have been proposed in literature, each one designed for a specific objective. In particular, structured-light approaches employ a projector to cast additional information over the scene to compute correspondences between two views and obtain a dense reconstruction. This thesis presents two main contributions in the field of 3D reconstruction: first, some improvements over a state-of-the-art structured light technique called fringe projection are presented. We start from a theoretical characterization of the acquired signal and formulate a novel phase unwrapping technique offering high resilience to noise and outliers. Additionally, we propose a code recovering technique and a phase correcting method to further improve the final reconstruction accuracy. The second main contribution involves some real-world applications exploiting 3D reconstruction techniques in heterogeneous fields. In particular, we present a cylinder extraction technique designed to work in industrial settings where non-oriented, noisy point clouds are acquired from the scene and a structured-light approach for micrometric surface reconstruction. Another application involves the employment of the described techniques in the field of cultural heritage, where the final outcome yields to a reverse engineering process in addiction to the main preservation purpose.
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Books on the topic "Structured light 3D scanning"

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Giancola, Silvio, Matteo Valenti, and Remo Sala. A Survey on 3D Cameras: Metrological Comparison of Time-of-Flight, Structured-Light and Active Stereoscopy Technologies. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91761-0.

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Giancola, Silvio, Matteo Valenti, and Remo Sala. A Survey on 3D Cameras: Metrological Comparison of Time-of-Flight, Structured-Light and Active Stereoscopy Technologies. Springer, 2018.

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Book chapters on the topic "Structured light 3D scanning"

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Li, Yuxi, Huijie Zhao, Hongzhi Jiang, and Xudong Li. "Projective Parallel Single-Pixel Imaging to Overcome Global Illumination in 3D Structure Light Scanning." In Lecture Notes in Computer Science, 489–504. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20068-7_28.

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Groh, Fabian, Benjamin Resch, and Hendrik P. A. Lensch. "Multi-view Continuous Structured Light Scanning." In Lecture Notes in Computer Science, 377–88. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66709-6_30.

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Pribanić, Tomislav, Tomislav Petković, Matea Đonlić, Vincent Angladon, and Simone Gasparini. "3D Structured Light Scanner on the Smartphone." In Lecture Notes in Computer Science, 443–50. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41501-7_50.

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Yang, Tangwen, Yantao Sun, Xiaoqing Cheng, Honghui Dong, and Yong Qin. "Object Detection on Train Bogies Using Structured Light Scanning." In Mechatronics and Machine Vision in Practice 4, 21–31. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43703-9_2.

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Lee, Deokwoo, and Hamid Krim. "System Identification: 3D Measurement Using Structured Light System." In Advanced Concepts for Intelligent Vision Systems, 1–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33140-4_1.

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Lee, Deokwoo, and Hamid Krim. "3D Surface Reconstruction Using Structured Circular Light Patterns." In Advanced Concepts for Intelligent Vision Systems, 279–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17688-3_27.

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Wang, Jian, Aswin C. Sankaranarayanan, Mohit Gupta, and Srinivasa G. Narasimhan. "Dual Structured Light 3D Using a 1D Sensor." In Computer Vision – ECCV 2016, 383–98. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46466-4_23.

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Bell, Tyler, Nikolaus Karpinsky, and Song Zhang. "Real-Time 3D Sensing With Structured Light Techniques." In Interactive Displays, 181–213. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118706237.ch5.

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Zanuttigh, Pietro, Giulio Marin, Carlo Dal Mutto, Fabio Dominio, Ludovico Minto, and Guido Maria Cortelazzo. "3D Scene Reconstruction from Depth Camera Data." In Time-of-Flight and Structured Light Depth Cameras, 231–51. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30973-6_7.

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Jensen, Sebastian Nesgaard, Jakob Wilm, and Henrik Aanæs. "An Error Analysis of Structured Light Scanning of Biological Tissue." In Image Analysis, 135–45. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59126-1_12.

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Conference papers on the topic "Structured light 3D scanning"

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Chen, Chia-Yen, Po-Sen Huang, Sheng-Wen Huang, Jia-Hong Zhang, and Bao Rong Chang. "Structured light 3D face scanning system." In 2015 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW). IEEE, 2015. http://dx.doi.org/10.1109/icce-tw.2015.7216934.

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Cheng, Fang-Hsuan, Chien-Te Lu, and Yea-Shuan Huang. "3D Object Scanning System by Coded Structured Light." In 2010 Third International Symposiums on Electronic Commerce and Security (ISECS). IEEE, 2010. http://dx.doi.org/10.1109/isecs.2010.54.

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Puljcan, Ana, Domagoj Zoraja, and Tomislav Petkovic. "Simulation of Structured Light 3D Scanning using Blender." In 2022 International Symposium ELMAR. IEEE, 2022. http://dx.doi.org/10.1109/elmar55880.2022.9899809.

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Sitnik, Robert, Krzysztof Lech, Eryk Bunsch, and Jakub Michoński. "Monitoring surface degradation process by 3D structured light scanning." In Optics for Arts, Architecture, and Archaeology VII, edited by Piotr Targowski, Roger Groves, and Haida Liang. SPIE, 2019. http://dx.doi.org/10.1117/12.2525668.

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Albarelli, Andrea, Luca Cosmo, Filippo Bergamasco, and Andrea Torsello. "High-Coverage 3D Scanning through Online Structured Light Calibration." In 2014 22nd International Conference on Pattern Recognition (ICPR). IEEE, 2014. http://dx.doi.org/10.1109/icpr.2014.699.

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Li, Renju, and Hongbin Zha. "Real-time structured light 3D scanning for hand tracking." In 2011 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2011. http://dx.doi.org/10.1109/icma.2011.5985738.

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Akemann, Walther, Cathie Ventalon, Jean-François Léger, Benjamin Mathieu, Stéphane Dieudonné, Baptiste Blochet, Sylvain Gigan, and Laurent Bourdieu. "Ultra-fast 3D scanning and holographic illumination in non-linear microscopy using acousto-optic deflectors." In SPIE Technologies and Applications of Structured Light, edited by Toyohiko Yatagai, Yoshihisa Aizu, Osamu Matoba, and Yasuhiro Awatsuji. SPIE, 2017. http://dx.doi.org/10.1117/12.2275143.

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Kazo, Csaba, and Levente Hajder. "High-quality structured-light scanning of 3D objects using turntable." In 2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2012. http://dx.doi.org/10.1109/coginfocom.2012.6422042.

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Jin, Huang, Ma Zi, Hu Ying, and Wang Yang. "Robotic 3D Structured Light Scanning System Based on External Axle." In 2008 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2008. http://dx.doi.org/10.1109/icicta.2008.308.

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Hennad, Adam, Patricia Cockett, Lifford McLauchlan, and Mehrube Mehrubeoglu. "Characterization of Irregularly-Shaped Objects Using 3D Structured Light Scanning." In 2019 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2019. http://dx.doi.org/10.1109/csci49370.2019.00113.

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