Matching 3D models with global geometric feature map

  title={Matching 3D models with global geometric feature map},
  author={Donghui Wang and Chenyang Cui and Zheng Wu},
  journal={2006 12th International Multi-Media Modelling Conference},
  pages={4 pp.-}
Measuring the similarity between 3D models is a fundamental task in 3D models retrieval. In this paper, we propose a new method based on global geometric feature map (GGFM) to represent arbitrary polygonal 3D models. Since 3D polygonal model can be expressed as a set of facets, the GGFM can fast constitute a spherical histogram about the normal orientation and area and position of every facet on the surface of the model. By computing the spherical correlation between the GGFMs of the matched… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 16 references

Direct , “ 3 DRotation estimation from shperical images via a generalized shift theorem ”

  • A. Makadia, Daniilidis, K.
  • Proc . of CVPR
  • 2003

M.,, “A Search Engine for 3D Models

  • T Funkhouser, Min P. Kazhdan
  • ACM Transactions on Graphics
  • 2003
2 Excerpts

X-P.,, “On visual similarity based 3D model retrieval

  • Chen D-Y, Tian
  • Proc.of Eurographics
  • 2003
2 Excerpts

Object Recognition Using Shape Similiarity-Based Aspect Graph

  • Cyr Ch.M, Kimia B.B
  • Proc. of ICCV
  • 2001
2 Excerpts

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