An Egomotion Algorithm Based on the Tracking of Arbitrary Curves

Emmanuel Arbogast 1 Roger Mohr 1, 2
2 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 : We are interested in the analysis of non polyhedral scenes. We will present an original egomotion algorithm, based on the tracking of arbitrary curves in a sequence of gray scale images. This differential method analyses the spatiotemporal surface, and extracts a simple equation relating the motion parameters and measures on the spatiotemporal surface. When a curve contour line is tracked in image sequence, this equation allows to extract the 3D motion parameters of the object attached to the contour when rigid motion is assumed. Experiments on synthetic as well as real data show the validity of this method.
Type de document :
Communication dans un congrès
G. Sandini. European Conference on Computer Vision (ECCV '92), May 1992, Santa Margherita Ligure, Italy. Springer-Verlag, 588, pp.467--475, 1992, Lecture Notes in Computer Science (LNCS). 〈http://www.springerlink.com/content/p3u2621523x077u6/〉. 〈10.1007/3-540-55426-2_52〉
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Soumis le : lundi 20 décembre 2010 - 08:44:53
Dernière modification le : mercredi 11 avril 2018 - 01:54:19

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Emmanuel Arbogast, Roger Mohr. An Egomotion Algorithm Based on the Tracking of Arbitrary Curves. G. Sandini. European Conference on Computer Vision (ECCV '92), May 1992, Santa Margherita Ligure, Italy. Springer-Verlag, 588, pp.467--475, 1992, Lecture Notes in Computer Science (LNCS). 〈http://www.springerlink.com/content/p3u2621523x077u6/〉. 〈10.1007/3-540-55426-2_52〉. 〈inria-00548441〉

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