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Proceedings Paper

Relaxation matching algorithm for moving photogrammetry
Author(s): Lei Guo; Ke Liu; Yinxiao Miao; Jigui Zhu
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Paper Abstract

Moving photogrammetry is an application of close range photogrammetry in industrial measurement to realize threedimensional coordinate measurement within large-scale volume. This paper describes an approach of relaxation matching algorithm applicable to moving photogrammetry according to the characteristics of accurate matching result of different measuring images. This method uses neighborhood matching support to improve the matching rate after coarse matching based on epipolar geometry constraint and precise matching using three images. It reflects the overall matching effect of all points, that means when a point is matched correctly, the matching results of those points round it must be correct. So for one point considered, the matching results of points round it are calculated to judge whether its result is correct. Analysis indicates that relaxation matching can eliminate the mismatching effectively and acquire 100% rate of correct matching. It will play a very important role in moving photogrammetry to ensure the following implement of ray bundle adjustment.

Paper Details

Date Published: 6 March 2015
PDF: 5 pages
Proc. SPIE 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation, 94462H (6 March 2015); doi: 10.1117/12.2181152
Show Author Affiliations
Lei Guo, Beijing Aerospace Institute for Metrology & Measurement Technology (China)
Ke Liu, Beijing Aerospace Institute for Metrology & Measurement Technology (China)
Yinxiao Miao, Beijing Aerospace Institute for Metrology & Measurement Technology (China)
Jigui Zhu, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 9446:
Ninth International Symposium on Precision Engineering Measurement and Instrumentation
Junning Cui; Jiubin Tan; Xianfang Wen, Editor(s)

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