• DocumentCode
    1949541
  • Title

    Color-Based 3D Model Classification Using Hopfield Neural Network

  • Author

    Wei, Wei ; Yang, Yubin ; Lin, Jinjie ; Ruan, Jiabin

  • Author_Institution
    State Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing
  • Volume
    1
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    883
  • Lastpage
    886
  • Abstract
    With the increasing amount and extensive usage of 3D models in many areas, there is a demanding need for developing 3D models retrieval systems. Because of the importance of appearance properties in content-based 3D model retrieval system, the paper presents a 3D model classification method based on color information. Firstly, the system architecture is introduced. Next, the proposed method that adopts Hopfield neural network to analyze the color features of 3D models is presented. Experimental results of classifying 3D VRML model using the proposed method are then analyzed and have shown the effectiveness of our method.
  • Keywords
    Hopfield neural nets; content-based retrieval; image classification; image colour analysis; image retrieval; solid modelling; 3D VRML model; Hopfield neural network; color-based 3D model classification; content-based 3D model retrieval system; Artificial neural networks; Biological neural networks; Color; Content based retrieval; Feature extraction; Geometry; Hopfield neural networks; Information retrieval; Shape control; Shape measurement; 3D model; Hopfield neural network; color-based classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1177
  • Filename
    4721891