3D Object Modeling and Recognition Using Affine-Invariant Patches and Multi-View Spatial Constraints

Abstract : This paper presents a representation for three-dimensional objects in terms of affine-invariant image patches and their spatial relationships. Multi-view constraints associated with groups of patches are combined with a normalized representation of their appearance to guide matching and reconstruction, allowing the acquisition of true three-dimensional affine and Euclidean models from multiple images and their recognition in a single photograph taken from an arbitrary viewpoint. The proposed approach does not require a separate segmentation stage and is applicable to cluttered scenes. Preliminary modeling and recognition results are presented.
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Communication dans un congrès
International Conference on Computer Vision & Pattern Recognition (CVPR '03), Jun 2003, Madison, United States. IEEE Computer Society, 2, pp.272--277, 2003, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1211480〉. 〈10.1109/CVPR.2003.1211480〉
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Fredrick Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce. 3D Object Modeling and Recognition Using Affine-Invariant Patches and Multi-View Spatial Constraints. International Conference on Computer Vision & Pattern Recognition (CVPR '03), Jun 2003, Madison, United States. IEEE Computer Society, 2, pp.272--277, 2003, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1211480〉. 〈10.1109/CVPR.2003.1211480〉. 〈inria-00548224〉

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