Generating the initial hypothesis using perspective invariants for a 2D image and 3D model matching

Abstract : Generation of the initial matching hypothesis for a model-based monocular vision system is presented. The primitive shape description of images is a set of line segments and the model is automatically constructed from a sequence of stereo views. The key points of the approach are the use of vanishing points and other perspective invariants such as collinearity, connectivity, and the use of double ratios to get rid of matching ambiguities.
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Communication dans un congrès
9th International Conference on Pattern Recognition (ICPR '88), Nov 1988, Rome, United States. IEEE Computer Society, 2, pp.872--874, 1988, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=28386〉. 〈10.1109/ICPR.1988.28386〉
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https://hal.inria.fr/inria-00548473
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Soumis le : lundi 20 décembre 2010 - 08:48:08
Dernière modification le : jeudi 11 janvier 2018 - 06:23:18

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Long Quan, Roger Mohr, Éric Thirion. Generating the initial hypothesis using perspective invariants for a 2D image and 3D model matching. 9th International Conference on Pattern Recognition (ICPR '88), Nov 1988, Rome, United States. IEEE Computer Society, 2, pp.872--874, 1988, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=28386〉. 〈10.1109/ICPR.1988.28386〉. 〈inria-00548473〉

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