Automatic Reconstruction of Unknown 3D Objects Based on the Limit Visual Surface and Trend Surface

Authors:
Xiaolong Zhou;Bingwei He;Y. F. Li
Affiliations:
School of Mechanical Engineering & Automation Fuzhou University, Fuzhou, China;School of Mechanical Engineering & Automation Fuzhou University, Fuzhou, China and State key laboratory of precision measuring technology and instruments, Tianjin University, Tianjin, China;Department of Manufacturing Engineering and Engineering Management City, University of Hong Kong, Hong Kong
Venue:
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Year:
2009

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Abstract

This paper presents a new planning approach of generating unknown 3-D models automatically. The new algorithm incorporates the limit visual surfaces with the trend surfaces and selects the suitability of viewpoints as the NBV on scanning coverage. The limit visual surfaces and trend surfaces are modelled by means of the known boundary region data obtained from initial view. The optimal design method is used to obtain the maximal visible area of next viewpoint and correspondding pose parameters in left and right planning process respectively. And the position that can obtain the maximal visible area is defined as the next best view position. The reconstrcted result of real model showes that the method is effective in practical implementation.