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Proceedings Paper

Edge features extraction from 3D laser point cloud based on corresponding images
Author(s): Xin-feng Li; Zi-ming Zhao; Guo-qing Xu; Yan-long Geng
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Paper Abstract

An extraction method of edge features from 3D laser point cloud based on corresponding images was proposed. After the registration of point cloud and corresponding image, the sub-pixel edge can be extracted from the image using gray moment algorithm. Then project the sub-pixel edge to the point cloud in fitting scan-lines. At last the edge features were achieved by linking the crossing points. The experimental results demonstrate that the method guarantees accurate fine extraction.

Paper Details

Date Published: 19 September 2013
PDF: 7 pages
Proc. SPIE 8905, International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications, 890527 (19 September 2013); doi: 10.1117/12.2034799
Show Author Affiliations
Xin-feng Li, Xi′an Institute of Surveying and Mapping (China)
Zi-ming Zhao, Xi′an Institute of Surveying and Mapping (China)
Guo-qing Xu, Xi′an Institute of Surveying and Mapping (China)
Yan-long Geng, Xi′an Institute of Surveying and Mapping (China)


Published in SPIE Proceedings Vol. 8905:
International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications
Farzin Amzajerdian; Astrid Aksnes; Weibiao Chen; Chunqing Gao; Yongchao Zheng; Cheng Wang, Editor(s)

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