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A New View Planning Method for Automatic Modeling of Three Dimensional Objects

  • Xiaolong Zhou
  • Bingwei He
  • Y. F. Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5314)

Abstract

Sensor planning is a critical issue since a typical 3-D sensor can only sample a portion of an object at a single viewpoint. The primary focus of the research described in this paper is to propose a new method of creating a complete model of free-form surface object from multiple range images acquired by a scan sensor at different space poses. Candidates for the best-next-view position are determined by detecting and measuring occlusions to the camera’s view in an image. Ultimately, the candidate which obtains maximum visible space volume is selected as the Next-best-view position. The experimental results show that the method is effective in practical implementation.

Keywords

View Planning Sensor planning Three-dimension (3-D) reconstruction Next best view 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Xiaolong Zhou
    • 1
  • Bingwei He
    • 1
    • 2
  • Y. F. Li
    • 3
  1. 1.Department of Mechatronics Engineering School of Mechanical, Engineering & AutomationFuzhou University
  2. 2.State key laboratory of precision measuring technology and instrumentsTianjin University
  3. 3.Department of Manufacturing Engineering and Engineering ManagementCity University of Hong Kong

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