JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2017, Vol. 47 ›› Issue (4): 19-24.doi: 10.6040/j.issn.1672-3961.0.2016.382

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A new 3D model retrieval method based on manifold ranking

MOU Chunqian, TANG Yan*, HU Jinge   

  1. College of Computer and Information Science, Southwest University, Chongqing 400715, China
  • Received:2016-10-13 Online:2017-08-20 Published:2016-10-13

Abstract: Most existing view-based 3D model retrieval methods used features of 2D projection views to represent a 3D model directly, ignored their contributions to a 3D model. Therefore, a new 3D model retrieval method based on manifold ranking was proposed, which focused on the contributions of 2D projected views features. 2D projected views from 34 different viewpoints obtained through rotation, word frequency vector featuresextracted by bag-of-feature based on scaleinvariant feature transform(SIFT)features, then aggregated 34 word frequency vector features of a 3D model into a 3D model feature. The experimental results showed that our method improved the retrieval accuracy well.

Key words: 2D projected view, SIFT feature, 3D model retrieval, manifold ranking, bag-of-feature

CLC Number: 

  • TP319
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[1] MOU Chunqian, TANG Yan. A novel 3D model retrieval method fusing global and local information [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(6): 48-53.
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