@inproceedings{19e074bd33804ee4815b0a2f1fc38f34,
title = "Robust detection of key point of a building for infrared imaging sequence",
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.",
keywords = "Geometrical feature, Infrared imaging, Vanishing point",
author = "Jinshen Wang and Fugen Zhou and Bindang Xue and Xiangzhi Bai",
note = "Publisher Copyright: {\textcopyright} 2014 SPIE.; International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, IPTA 2014 ; Conference date: 13-05-2014 Through 15-05-2014",
year = "2014",
doi = "10.1117/12.2073169",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Gaurav Sharma and Fugen Zhou",
booktitle = "International Symposium on Optoelectronic Technology and Application 2014",
address = "美国",
}