Point Cloud Reconstruction Based on SVR

Jin Guang Sun; Jun Tao Wang; Xin Nian Yang; Yang Li

doi:10.4028/www.scientific.net/AMR.403-408.3267

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408Point Cloud Reconstruction Based on SVR

Point Cloud Reconstruction Based on SVR

Abstract:

This paper presents a point cloud reconstruction algorithm which based on SVR(support vector regression) . Firstly, the point cloud data pre-processing, filter out noise points. Then train the point by SVR , and we can get the function of surface expression. Finally, using the Marching Cube algorithm to visualize the implicit function. Experimental results show that the algorithm is more robust and more efficient.

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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

3267-3270

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.3267

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Online since:

November 2011

Authors:

Jin Guang Sun, Jun Tao Wang, Xin Nian Yang, Yang Li

Keywords:

Particle Swarm Optimization Algorithm (PSO), Point Cloud Reconstruction, Surface Fitting, SVR

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