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Proceedings Paper

Fragmentary area repairing on the edge of 3D laser point cloud based on edge extracting of images and LS-SVM
Author(s): Ziming Zhao; Xiangyang Hao; Songlin Liu; Song Zhao
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Paper Abstract

In the process of hole-repairing in point cloud, it's difficult to repair by the indeterminate boundary of fragmentary area in the edge of point cloud. In view of this condition, the article advances a method of Fragmentary area repairing on the edge of point cloud based on edge extracting of image and LS-SVM. After the registration of point cloud and corresponding image, the sub-pixel edge can be extracted from the image. Then project the training points and sub-pixel edge to the characteristic plane that has being constructed to confirm the bound and position for re-sampling. At last get the equation of fragmentary area to accomplish the repairing by Least-Squares Support Vector Machines. The experimental results demonstrate that the method guarantees accurate fine repairing.

Paper Details

Date Published: 20 August 2011
PDF: 8 pages
Proc. SPIE 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, 81922V (20 August 2011); doi: 10.1117/12.900779
Show Author Affiliations
Ziming Zhao, Information Engineering Univ. (China)
Xiangyang Hao, Information Engineering Univ. (China)
Songlin Liu, Information Engineering Univ. (China)
Song Zhao, Information Engineering Univ. (China)


Published in SPIE Proceedings Vol. 8192:
International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging
Farzin Amzajerdian; Weibiao Chen; Chunqing Gao; Tianyu Xie, Editor(s)

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