Geometry of Multiple Affine Views

Long Quan 1 Yuichi Ohta 2 Roger Mohr 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 : We introduce a unified framework for developing matching constraints of multiple affine views and rederive 2-view (affine epipolar geometry) and 3-view (affine image transfer) constraints within this framwork. With the insight into the particular structure of these multiple-view constraints, we first describe a new linear method for Euclidean motion and structure from 3 calibrated affine images. Compared with the existing linear method of Huang and Lee [6], the new method uses different and more appropriate constraints. It has no failure mode of the Euclidean factorisation method of Tomasi and Kanade [20]. We then describe how to integrate points and lines and establish some minimal point/line configurations for structure recovery. The method is demonstrated on real image sequences.
Type de document :
Communication dans un congrès
Reinhard Koch and Luc Van Gool. Workshop on 3D Structure from Multiple Images of Large-scale Environments (SMILE), Jan 1998, Freiburg, Germany. Springer-Verlag, 1506, pp.32--46, 1998, Lecture Notes in Computer Science (LNCS). 〈http://www.springerlink.com/content/0nn5bfupj8gw3nm2/〉. 〈10.1007/3-540-49437-5_3〉
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https://hal.inria.fr/inria-00548329
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Soumis le : lundi 20 décembre 2010 - 08:43:25
Dernière modification le : mercredi 11 avril 2018 - 01:54:24

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Long Quan, Yuichi Ohta, Roger Mohr. Geometry of Multiple Affine Views. Reinhard Koch and Luc Van Gool. Workshop on 3D Structure from Multiple Images of Large-scale Environments (SMILE), Jan 1998, Freiburg, Germany. Springer-Verlag, 1506, pp.32--46, 1998, Lecture Notes in Computer Science (LNCS). 〈http://www.springerlink.com/content/0nn5bfupj8gw3nm2/〉. 〈10.1007/3-540-49437-5_3〉. 〈inria-00548329〉

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