Edge features extraction from 3D laser point cloud based on corresponding images

Xin-feng Li; Zi-ming Zhao; Guo-qing Xu; Yan-long Geng

doi:10.1117/12.2034799

19 September 2013 Edge features extraction from 3D laser point cloud based on corresponding images

Xin-feng Li, Zi-ming Zhao, Guo-qing Xu, Yan-long Geng

Proceedings Volume 8905, International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications; 890527 (2013) https://doi.org/10.1117/12.2034799
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

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.

Citation Download Citation

Xin-feng Li, Zi-ming Zhao, Guo-qing Xu, and Yan-long Geng "Edge features extraction from 3D laser point cloud based on corresponding images", Proc. SPIE 8905, International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications, 890527 (19 September 2013); https://doi.org/10.1117/12.2034799

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