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Overview of coded light projection techniques for automatic 3D profiling

Obtaining automatic 3D profile of objects is one of the most important issues in computer vision. With this information, a large number of applications become feasible: from visual inspection of industrial parts to 3D reconstruction of the environment for mobile robots. In order to achieve 3D data, range finders can be used. Coded structured light approach is one of the most widely used techniques to retrieve 3D information of an unknown surface. An overview of the existing techniques as well as a new classification of patterns for structured light sensors is presented. This kind of systems belong to the group of active triangulation method, which are based on projecting a light pattern and imaging the illuminated scene from one or more points of view. Since the patterns are coded, correspondences between points of the image(s) and points of the projected pattern can be easily found. Once correspondences are found, a classical triangulation strategy between camera(s) and projector device leads to the reconstruction of the surface. Advantages and constraints of the different patterns are discussed

© IEEE International Conference on Robotics and Automation : 2003 : Proceedings : ICRA ’03, 2003, vol. 1, p. 133-138

IEEE

Author: Pagès Marco, Jordi
Salvi, Joaquim
García Campos, Rafael
Matabosch Geronès, Carles
Date: 2003
Abstract: Obtaining automatic 3D profile of objects is one of the most important issues in computer vision. With this information, a large number of applications become feasible: from visual inspection of industrial parts to 3D reconstruction of the environment for mobile robots. In order to achieve 3D data, range finders can be used. Coded structured light approach is one of the most widely used techniques to retrieve 3D information of an unknown surface. An overview of the existing techniques as well as a new classification of patterns for structured light sensors is presented. This kind of systems belong to the group of active triangulation method, which are based on projecting a light pattern and imaging the illuminated scene from one or more points of view. Since the patterns are coded, correspondences between points of the image(s) and points of the projected pattern can be easily found. Once correspondences are found, a classical triangulation strategy between camera(s) and projector device leads to the reconstruction of the surface. Advantages and constraints of the different patterns are discussed
Format: application/pdf
Citation: Pages, J., Salvi, J., Garcia, R., i Matabosch, C. (2003). Overview of coded light projection techniques for automatic 3D profiling. IEEE International Conference on Robotics and Automation : 2003 : Proceedings : ICRA ’03, 1, 133-138. Recuperat 14 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1241585
ISBN: 0-7803-7736-2
ISSN: 1050-4729
Document access: http://hdl.handle.net/10256/2278
Language: eng
Publisher: IEEE
Collection: Articles publicats (D-ATC)
Is part of: © IEEE International Conference on Robotics and Automation : 2003 : Proceedings : ICRA ’03, 2003, vol. 1, p. 133-138
Rights: Tots els drets reservats
Subject: Detectors òptics
Visió per ordinador
Visió artificial (Robòtica)
Visualització tridimensional (Informàtica)
Computer vision
Optical detectors
Three-dimensional display systems
Robot vision
Title: Overview of coded light projection techniques for automatic 3D profiling
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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