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 - Graphisme, Vision et Robotique, 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.
Document type :
Conference papers
Complete list of metadatas

https://hal.inria.fr/inria-00590132
Contributor : Team Perception <>
Submitted on : Tuesday, May 3, 2011 - 9:24:43 AM
Last modification on : Wednesday, April 11, 2018 - 1:55:08 AM
Long-term archiving on : Thursday, August 4, 2011 - 2:57:37 AM

Files

DemirdjZissHoraud00.pdf
Files produced by the author(s)

Identifiers

Collections

IMAG | INRIA | UGA

Citation

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⟩

Share

Metrics

Record views

385

Files downloads

349