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文章基本信息

  • 标题:3D OBJECTS RETRIEVAL USING SPHERICAL HARMONICS FEATURE VECTOR METHOD
  • 作者:MANJU MANDOT
  • 期刊名称:International Journal of Computational Intelligence Techniques
  • 印刷版ISSN:0976-0466
  • 电子版ISSN:0976-0474
  • 出版年度:2011
  • 卷号:2
  • 期号:2
  • 页码:30-34
  • 语种:English
  • 出版社:Bioinfo Publications
  • 摘要:As the amount of new information generated in the world rapidly increases, efficient search in collections of structured data, texts and multimedia objects. 3D objects are an important type of multimedia data with many applications. The approach is based on feature vector 3D methods for searching and using algorithm for content based retrieval of 3D objects. The feature vector is obtained by forming a complex function on the given object. Apply the Fast Fourier Transform (FFT) on the object and obtain Fourier coefficients for spherical harmonics. Retrieval efficiency of the new approach is evaluated by constructing precision/recall diagrams and using 3D model databases.
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