LENG Biao, QIN Zheng, CAO Xiaoman, WEI Tao, ZHANG Zhuxi. MATE: A Visual Based 3D Shape Descriptor[J]. Chinese Journal of Electronics, 2009, 18(2): 291-296.
Citation: LENG Biao, QIN Zheng, CAO Xiaoman, WEI Tao, ZHANG Zhuxi. MATE: A Visual Based 3D Shape Descriptor[J]. Chinese Journal of Electronics, 2009, 18(2): 291-296.

MATE: A Visual Based 3D Shape Descriptor

  • Received Date: 2007-11-01
  • Rev Recd Date: 2008-11-01
  • Publish Date: 2009-05-25
  • Since 3D models have been widely appliedin many research areas, the techniques for content-based3D model retrieval become necessary. In this paper, anovel visual based 3D shape descriptor called MATE isproposed. A modified Principal component analysis (PCA)method for model normalization is presented at first. Secondly, a new Adjacent angle distance Fourier (AADF) algorithm is proposed. Then the original two-viewed Dbuffermethod is presented to extract characteristics of projectedimages. Finally, based on the modified PCA method, theshape descriptor MATE is proposed by combining AADF,Tchebichef and two-viewed Dbuffer. Experimental resultsshow that the descriptor MATE provides better retrievalperformance than the best current descriptors.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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