Paper
3 November 2005 Study on object matching method based on Hausdorff distance
Author Affiliations +
Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 604424 (2005) https://doi.org/10.1117/12.655283
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhengrong Zuo, Huafeng Chen, and Tianxu Zhang "Study on object matching method based on Hausdorff distance", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 604424 (3 November 2005); https://doi.org/10.1117/12.655283
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KEYWORDS
Distance measurement

Forward looking infrared

Image sensors

Image segmentation

3D modeling

Feature extraction

Infrared imaging

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