HAL - INRIA :: [inria-00548618, version 1] 3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints

inria-00548618, version 1

3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints

Fred Rothganger ^1, 2, Svetlana Lazebnik ^1, 2, Cordelia Schmid ( Author to contact preferably ) ³, Jean Ponce () ^1, 2

International Journal of Computer Vision 66, 3 (2006) 231--259

Abstract: This article introduces a novel representation for 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 matching and reconstruction, allowing the acquisition of true 3D affine and Euclidean models from multiple unregistered images, as well as their recognition in photographs taken from arbitrary viewpoints. The proposed approach does not require a separate segmentation stage, and it is applicable to highly cluttered scenes. Modeling and recognition results are presented.

1: The Beckman Institute for Advanced Science and Technology (Beckman Institute)
University of Illinois
2: Department of Computer Science [UIUC] (UIUC)
University of Illinois at Urbana-Champaign
3: LEAR (IMAG-INRIA Rhône-Alpes / GRAVIR)
CNRS : FR71 – CNRS : UMR5527 – INRIA – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)

inria-00548618, version 1
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Submitted on: Monday, 20 December 2010 10:08:06
Updated on: Monday, 10 January 2011 14:11:52

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DOI: 10.1007/s11263-005-3674-1

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