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Volume 38 Issue 11
Nov.  2012
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Journal of Beijing University of Aeronautics and Astronautics  > 2012  >  (11): 1517-1521.
Ding Hao, Li Xudong, Zhao Huijieet al. Method of multi-view modeling for 3D target based on SVDD[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (11): 1517-1521. (in Chinese)
Citation: Ding Hao, Li Xudong, Zhao Huijieet al. Method of multi-view modeling for 3D target based on SVDD[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (11): 1517-1521. (in Chinese)
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Method of multi-view modeling for 3D target based on SVDD

  • Precision Opto-mechatronics Technology Key Laboratory of Education Ministry, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • Received Date: 18 Jul 2011
  • Publish Date: 30 Nov 2012
    Abstract
  • Popular 3D target recognition approaches based on image continue to struggle with challenge—viewpoint sensitivity. Multi-view modeling technique for 3D target offers promise for this challenge. A method of modeling 3D target based on support vector data description (SVDD) that could obtain a tight description covering most of the target feature data was proposed. Target’s images were captured with uniform grid on the viewing sphere and characterized by feature vectors. The support vectors representing characteristic views were obtained by applying SVDD to optimize the parameters of the minimal hyper-sphere which covers as many feature vectors as possible. The experiments were conducted by applying the proposed method to an image set (each target includes 2592 images) characterized by normalized moment invariants. The results show that the proposed method is effective and feasibility.

     

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