Research on Deformation Analysis of Time-Varying Point Cloud

Abstract:

For large-scale object or scene which needs high requirements of deformation detection, a comprehensive deformation analysis method is proposed based on the time-varying point cloud to perform continuous detection, to comprehensively analyze the deformation and to research its characteristics and rules. In order to improve computing efficiency, a BSP parallel algorithm based on deformation analysis of time-varying point cloud is designed according to BSP parallel computing technology, and the deformational data are handled by a HAMA computing cluster which is composed of common personal computers. Several computing results from both simulations and real cases have proved the feasibility and effectiveness of analyzing method and BSP analyzing algorithm of deformation of time-varying point cloud.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 3450-3455
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.3450
• Online since: May 2014
• Authors: Song Liu*, Lei Peng, Lin Lin Yuan
• Keywords: 3D Laser Scanning, BSP, Deformation, Parallel Computing, Point Cloud

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