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2006

3D Object Modeling and Recognition from Photographs and Image Sequences

8 years 11 months ago
3D Object Modeling and Recognition from Photographs and Image Sequences
This chapter proposes a representation of rigid three-dimensional (3D) objects in terms of local affine-invariant descriptors of their images and the spatial relationships between the corresponding surface patches. Geometric constraints associated with different views of the same patches under affine projection are combined with a normalized representation of their appearance to guide the matching process involved in object modeling and recognition tasks. The proposed approach is applied in two domains: (1) Photographs -- models of rigid objects are constructed from small sets of images and recognized in highly cluttered shots taken from arbitrary viewpoints. (2) Video -- dynamic scenes containing multiple moving objects are segmented into rigid components, and the resulting 3D models are directly matched to each other, giving a novel approach to video indexing and retrieval.
Fred Rothganger, Svetlana Lazebnik, Cordelia Schmi
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where CLOR
Authors Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
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