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Proceedings Paper

Relaxation-based approach for object recognition
Author(s): Tongwei Lu; Xiaoying Gao; Nong Sang
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Paper Abstract

Object recognition can be formulated as matching image features to model features. When recognition is based on point feature, feature correspondence should be one-to-one. However, due to noises, repetitive structures and background clutters, features don't match one-to-one but one-to-many. By using the multi-scale feature point technique, we present an object recognition algorithm that makes features match one-to-one. First, it determines the correspondence by using the location, scale factor, orientation and local invariant descriptor of each feature point. Then a vote is recorded for the center, scale factor and rotation angle of object for each correspondence point. This approach can recognize the objects in the case of scale change, rotation angle changes and partial occlusion. Experimental results demonstrate the robustness of the overall approach on various image pairs.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67861B (15 November 2007); doi: 10.1117/12.748170
Show Author Affiliations
Tongwei Lu, Huazhong Univ. of Science and Technology (China)
Xiaoying Gao, State Key Lab. of National Defenses for Aerospace Intelligent Control (China)
Nong Sang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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