Journal ArticleDOI
A flexible new technique for camera calibration
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TLDR
A flexible technique to easily calibrate a camera that only requires the camera to observe a planar pattern shown at a few (at least two) different orientations is proposed and advances 3D computer vision one more step from laboratory environments to real world use.Abstract:
We propose a flexible technique to easily calibrate a camera. It only requires the camera to observe a planar pattern shown at a few (at least two) different orientations. Either the camera or the planar pattern can be freely moved. The motion need not be known. Radial lens distortion is modeled. The proposed procedure consists of a closed-form solution, followed by a nonlinear refinement based on the maximum likelihood criterion. Both computer simulation and real data have been used to test the proposed technique and very good results have been obtained. Compared with classical techniques which use expensive equipment such as two or three orthogonal planes, the proposed technique is easy to use and flexible. It advances 3D computer vision one more step from laboratory environments to real world use.read more
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Multiple View Geometry in Computer Vision.
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A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
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Proceedings ArticleDOI
Flexible camera calibration by viewing a plane from unknown orientations
TL;DR: Compared with classical techniques which use expensive equipment, such as two or three orthogonal planes, the proposed technique is easy to use and flexible, and advances 3D computer vision one step from laboratory environments to real-world use.
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Introduction to Autonomous Mobile Robots
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References
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Proceedings ArticleDOI
An algorithm for self calibration from several views
TL;DR: This paper gives a practical algorithm for the self-calibration of a camera from several views that involves non-iterative methods for finding an initial calibration for the camera, followed by least-squares iteration to an optimum solution.
Proceedings ArticleDOI
A complete two-plane camera calibration method and experimental comparisons
G.-Q. Wei,Songde Ma +1 more
TL;DR: A two-plane method is presented, which models all kinds of lens distortions and a set of constraints of perspectivity is derived to constrain the modeling process, and the camera physical parameters can be related directly to the modeling parameters.
Journal ArticleDOI
Motion and structure from two perspective views: from essential parameters to Euclidean motion through the fundamental matrix
TL;DR: The conjecture is that the imposition of the constraints arising from projective geometry should be used as an intermediate step to obtain reliable three-dimensional Euclidean motion and structure estimation from multiple calibrated images.
Dissertation
Matrice fondamentale et calibration visuelle sur l'environnement. Vers une plus grande autonomie des système robotiques.
TL;DR: In this article, a methode semi-analytique de resolution is proposed, and an approche iterative performante is presented, which permet de prendre en compte des longues sequences d'images, ainsi que lincertitude.
Dissertation
Stereo camera calibration
TL;DR: All the aspects of 3D stereo reconstruction is dealt with and the necessary algorithms to perform epipolar rectification on images as well as solving the correspondence and triangulation problems are presented.