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Stereo Autocalibration from One Plane

David Demirdjian 1 Andrew Zisserman 2, 3 Radu Horaud 1 
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : This paper describes a method for autocalibrating a stereo rig. A planar object perfforming several general and unknown motions is observes by the stereo rig and, based on point correspondences only, the autocalibration of the stereo rig is computed. a stratified approach is used and the autocalibration is computed by estimating first the epipolar geometry of the rig, then the plane at infinity (affine calibration) and finally the absolute conic (Euclidean calibration). We show that the affine and Euclidean calibrations involve quadratic constraints and we describe an algorithm to solve them based on conic intersection. Experiments with both synthetic and real data are used to evaluate the performance of the method.
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Submitted on : Tuesday, May 3, 2011 - 9:24:43 AM
Last modification on : Wednesday, May 4, 2022 - 12:12:03 PM
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David Demirdjian, Andrew Zisserman, Radu Horaud. Stereo Autocalibration from One Plane. 6th European Conference on Computer Vision (ECCV '00), Jun 2000, Dublin, Ireland. pp.625--639, ⟨10.1007/3-540-45053-X_40⟩. ⟨inria-00590132⟩



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