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Proceedings Paper

Study on object matching method based on Hausdorff distance
Author(s): Zhengrong Zuo; Huafeng Chen; Tianxu Zhang
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Paper Abstract

A new matching measure based on the distance transform weighted by the object contour's characteristic is proposed to enhance the matching contribution of the local feature. In this paper, the characteristic of the contour is expressed with corner membership, and the distance transform is weighted by the difference of the corner membership between the object contour and model, and a more robust matching measure is obtained. The real forward looking infrared (FLIR) images matching experiment shown that the proposed matching measure increase the class-between distance between the object and non-object remarkably, and improve the matching probability and performance.

Paper Details

Date Published: 3 November 2005
PDF: 7 pages
Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 604424 (3 November 2005); doi: 10.1117/12.655283
Show Author Affiliations
Zhengrong Zuo, Huazhong Univ. of Science and Technology (China)
Huafeng Chen, Huazhong Univ. of Science and Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 6044:
MIPPR 2005: Image Analysis Techniques
Deren Li; Hongchao Ma, Editor(s)

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