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Content-Based 3D Model Retrieval for Digital Museum

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Technologies for E-Learning and Digital Entertainment (Edutainment 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3942))

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Abstract

In this paper, we propose a new shape feature for shape-similarity search of 3D polygonal-mesh models in digital museum. The shape feature is an extension of the D2 shape functions proposed by Osada. Our proposed shape feature is a combination of geometry and texture which is also invariant to similarity transformation. Experiments showed that, our method achieved better performance improvement especially for appearance retrieval of 3d model.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Nanjing University, Nanjing, 210093, P.R. China

    Jie Tang & Fuyan Zhang

Authors
  1. Jie Tang
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  2. Fuyan Zhang
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Editor information

Editors and Affiliations

  1. State Key Lab of CAD&CG, Zhejiang University, 310027, Hangzhou, China

    Zhigeng Pan

  2. School of Mathematical and Computer Sciences, Heriot Watt University, EH14 4AS, Edinburgh, Scotland

    Ruth Aylett

  3. Fraunhofer IGD, Joachim-Jungius-Strasse 11, 18059, Rostock, Germany

    Holger Diener

  4. State Key Lab of CAD&CG, Zhejiang University, 310027, Hangzhou, P.R. China

    Xiaogang Jin

  5. Digital Storytelling Dept, ZGDV e.V., Rundeturmstr. 10, P.O. Box, 64283, Darmstadt, Germany

    Stefan Göbel

  6. School of Management, Shenzhen University, 518060, Shenzhen, P.R. China

    Li Li

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© 2006 Springer-Verlag Berlin Heidelberg

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Tang, J., Zhang, F. (2006). Content-Based 3D Model Retrieval for Digital Museum. In: Pan, Z., Aylett, R., Diener, H., Jin, X., Göbel, S., Li, L. (eds) Technologies for E-Learning and Digital Entertainment. Edutainment 2006. Lecture Notes in Computer Science, vol 3942. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11736639_171

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  • DOI: https://doi.org/10.1007/11736639_171

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33423-1

  • Online ISBN: 978-3-540-33424-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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