3D object retrieval based on visual keywords using relative angle context distribution

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

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Detail(s)

Original languageEnglish
Title of host publication2009 10th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2009
Pages246-249
Publication statusPublished - 2009

Conference

Title2009 10th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2009
PlaceUnited Kingdom
CityLondon
Period6 - 8 May 2009

Abstract

In this paper, we proposed a new 3D object retrieval method based on the visual keywords. In our method, the visual keywords are generated from the clusters of Relative Angle Context Distribution, which provides a statistical shape context that captures local shape characters and is also rotational and scale invariant. We also adopt the term frequency model commonly used for text retrieval to compare two 3D objects according to their keyword sets based on a cosine similarity measure. Our experiments have demonstrated that this method is robust for its invariance with respect to object orientation and scaling, and yields a higher precision when compared to existing retrievalmethods such as the Distance Map. © 2009 IEEE.

Research Area(s)

  • 3D Object Retrieval, Cluster, Relative Angle Context Distributions, Visual Keywords

Citation Format(s)

3D object retrieval based on visual keywords using relative angle context distribution. / He, Qizhen; Feng, Jun; Ip, Horace H. S.

2009 10th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2009. 2009. p. 246-249 5031479.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review