JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2016, Vol. 46 ›› Issue (6): 48-53.doi: 10.6040/j.issn.1672-3961.0.2016.127

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A novel 3D model retrieval method fusing global and local information

MOU Chunqian, TANG Yan*   

  1. College of Computer and Information Science, Southwest University, Chongqing 400715, China
  • Received:2016-04-16 Online:2016-12-20 Published:2016-04-16

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Abstract: 3D model retrieval methods based on feature fusion could improve the retrieval efficiency. A novel retrieval method fusing global and local information was proposed. Edge feature for global information and word frequency vector feature for local information were extracted through Canny algorithm and bag-of-feature based on scale-invariant feature transform(SIFT)features respectively, then they were fused into a new feature of a 3D model. The experimental results showed that our method improves the retrieval accuracy well.

Key words: feature fusion, bag-of-feature, scale-invariant feature transform feature, 3D model retrieval, Canny algorithm

CLC Number: 

  • TP319
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