Camera Self-Calibration from Video Sequences: the Kruppa Equations Revisited

Cyril Zeller 1 Olivier Faugeras
1 ROBOTVIS - Computer Vision and Robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The use of some new techniques such as self-calibration and calibration from partial a priori information about the observed scene (angles, distances), together with the use of some classical techniques of video sequence processing, such as features extraction and token tracking, makes the computation of three-dimensional measurements of the observed scene from video sequences possible. Depending upon the kind of calibration that has been obtained for the camera, these measurements are projective, affine or metric measurements. They can be obtained directly from the images without any reconstruction process. The self-calibration technique described in this article is the generalization to a large number of images of the algorithm developped by Luong and Faugeras\cite{faugeras-luong-etal:92} based on the Kruppa equations. A theoretical study of these equations as well as experimental results on real video sequences are presented.
Type de document :
Rapport
RR-2793, INRIA. 1996
Liste complète des métadonnées

https://hal.inria.fr/inria-00073897
Contributeur : Rapport de Recherche Inria <>
Soumis le : mercredi 24 mai 2006 - 14:01:41
Dernière modification le : samedi 27 janvier 2018 - 01:31:30
Document(s) archivé(s) le : dimanche 4 avril 2010 - 22:09:03

Fichiers

Identifiants

  • HAL Id : inria-00073897, version 1

Collections

Citation

Cyril Zeller, Olivier Faugeras. Camera Self-Calibration from Video Sequences: the Kruppa Equations Revisited. RR-2793, INRIA. 1996. 〈inria-00073897〉

Partager

Métriques

Consultations de la notice

346

Téléchargements de fichiers

684