Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 266-269.

• Pattern Recognition & Image Processing • Previous Articles     Next Articles

3D Retrieval Algorithm Based on Multi-feature

LI Yue-feng   

  1. Global Institute of Software Technology,Suzhou,Jiangsu 215163,China
  • Online:2019-06-14 Published:2019-07-02

Abstract: In the 3D model retrieval method,the sampling process offset is generated in the model of complex local surface which may exist in the shape distribution feature extraction process.Aiming at this problem,the statistical feature of the model based on cosine value was proposed as another statistical feature,and the correlation weight was used.The feedback algorithm determines the weights to combine the two geometric features to perform the three-dimensional model feature representation,and finally uses the Euclidean distance for similarity matching.It has been verified by experiments that retrieving three-dimensional model by using this feature representation can improve the recall and precision rate.

Key words: Feature extraction, Feature matching, Shape distribution, Three-dimensional model, Weighted feedback

CLC Number: 

  • TP311
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