Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 251-255.

• Pattem Recognition & Image Processing • Previous Articles     Next Articles

3D Model Retrieval Method Based on Angle Structure Feature of Render Image

LIU Zhi, PAN Xiao-bin   

  1. College of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China
  • Online:2019-02-26 Published:2019-02-26

Abstract: In order to make full use of the color,shape,texture and other features in the 3D model,a 3D model retrieval method was proposed based on angle structure features of render images.Firstly,the 3D model render images are taken as a test dataset and the marked natural images are taken as a training set.The render images are classified based on their skeleton-associated shape context and the angle structure features are extracted to establish the feature library.Then,the angle structure features of the input natural images are extracted.The distance measurement method is used to calculate the similarity between the angle structure feature of input natural image and those features in the feature library.The experimental results show that the full utilization of the color,shape and color space information of the render image is an effective way to achieve 3D model retrieval.

Key words: 3D model retrieval, Angle structure feature, Render image, Skeleton-associated shape context

CLC Number: 

  • TP391
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