19 August 2011 Fragmentary area repairing on the edge of 3D laser point cloud based on edge extracting of images and LS-SVM
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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.
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Ziming Zhao, Ziming Zhao, Xiangyang Hao, Xiangyang Hao, Songlin Liu, Songlin Liu, Song Zhao, Song Zhao, } "Fragmentary area repairing on the edge of 3D laser point cloud based on edge extracting of images and LS-SVM", 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 (19 August 2011); doi: 10.1117/12.900779; https://doi.org/10.1117/12.900779
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