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Proceedings Paper

Robust detection of key point of a building for infrared imaging sequence
Author(s): Jinshen Wang; Fugen Zhou; Bindang Xue; Xiangzhi Bai
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Paper Abstract

In this paper, we describe a fully automatic approach for detecting and matching geometrical corner feature correspondences between aerial images with larger scale and view variations. The main assumption of the approach is the fact that many man-made environments contain a large number of parallel linear features. We exploit this observation towards efficient detection and estimation of vanishing points. Given the vanishing points within an image, building geometrical corner features are obtained by the intersections of pairs of building outlines corresponding to different vanishing points. The experiments performed on the infrared aerial image sequences evaluate the stability and distinctiveness of the proposed features which are undergone appearance changes due to projective deformation.

Paper Details

Date Published: 24 November 2014
PDF: 6 pages
Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93013B (24 November 2014); doi: 10.1117/12.2073169
Show Author Affiliations
Jinshen Wang, Beijing Univ. of Aeronautics and Astronautics (China)
Fugen Zhou, Beijing Univ. of Aeronautics and Astronautics (China)
Bindang Xue, Beijing Univ. of Aeronautics and Astronautics (China)
Xiangzhi Bai, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 9301:
International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition
Gaurav Sharma; Fugen Zhou; Jennifer Liu, Editor(s)

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