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Proceedings Paper • new

Localization of subastral point based on matching between salient regions
Author(s): Haibo Li; Yunfeng Cao; Meng Ding; Likui Zhuang; Jiang Tao; Zhouyu Zhang; Peiyi Zhong
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Paper Abstract

To determine the position of the subastral point in the base map and reduce the computational burden, an approach was developed based on scale invariant feature transform (SIFT) and match between salient regions. The salient regions of the base map can be determined by manual or algorithm in advance. And also, the salient regions of the descent image can be obtained by saliency computation. The extraction of SIFT feature was only performed on the salient regions of the base map and the descent image. These feature points were used to match between the two images. The method of maximum likelihood estimation sample consensus (MLESAC) was employed to eliminate the wrong matches. Then the correct matching points were used to determine the transform matrix between the base map and the descent image. The position of the probe can be predefined in the descent image. Through the transform matrix, the position of the subastral point can be determined in the base map. The experimental results demonstrate that the proposed approach can determine the position of the subastral point simply by matching in the salient regions rather than traversing the entire image to search for the matching points so as to reduce the cost of comparing all regions in two images.

Paper Details

Date Published: 15 November 2017
PDF: 6 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 1060512 (15 November 2017); doi: 10.1117/12.2286727
Show Author Affiliations
Haibo Li, Nanjing Univ. of Aeronautics and Astronautics (China)
Yunfeng Cao, Nanjing Univ. of Aeronautics and Astronautics (China)
Meng Ding, Nanjing Univ. of Aeronautics and Astronautics (China)
Likui Zhuang, Nanjing Univ. of Aeronautics and Astronautics (China)
Jiang Tao, Nanjing Univ. of Aeronautics and Astronautics (China)
Zhouyu Zhang, Nanjing Univ. of Aeronautics and Astronautics (China)
Peiyi Zhong, Nanjing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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