@inproceedings{ca4b38bf6ad44c488bc357145ae1266c,
title = "Extraction of geometrical corners of buildings 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 IEEE.; 2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014 ; Conference date: 03-08-2014 Through 06-08-2014",
year = "2014",
month = sep,
day = "23",
doi = "10.1109/MWSCAS.2014.6908505",
language = "英语",
series = "Midwest Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "675--678",
booktitle = "2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014",
address = "美国",
}