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

Fredrick Rothganger 1, 2 Svetlana Lazebnik 1, 2 Cordelia Schmid 3 Jean Ponce 1, 2 
3 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
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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Submitted on : Monday, December 20, 2010 - 8:41:59 AM
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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. pp.272--277, ⟨10.1109/CVPR.2003.1211480⟩. ⟨inria-00548224⟩



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