Robust detection of key point of a building for infrared imaging sequence

Jinshen Wang; Fugen Zhou; Bindang Xue; Xiangzhi Bai

doi:10.1117/12.2073169

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24 November 2014 Robust detection of key point of a building for infrared imaging sequence

Jinshen Wang, Fugen Zhou, Bindang Xue, Xiangzhi Bai

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Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93013B (2014) https://doi.org/10.1117/12.2073169
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

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.

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Jinshen Wang, Fugen Zhou, Bindang Xue, and Xiangzhi Bai "Robust detection of key point of a building for infrared imaging sequence", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93013B (24 November 2014); https://doi.org/10.1117/12.2073169

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