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Shape Retrieval for 3D Models Based on MRF

  • Qingbin Li
  • Junxiao XueEmail author
Conference paper
  • 22 Downloads
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 179)

Abstract

Recent advances in modeling, digitization, and visualization of three-dimensional shapes have led to a surge in the number of available three-dimensional models. Therefore, the technology of three-dimensional retrieval becomes very necessary. This paper introduces a content-based 3D models retrieval method. We propose a unified framework to deal with the complex mesh structure of three-dimensional models, which has one-dimensional potentials describing local similarity and higher-order potentials describing spatial consistency. A three-dimensional surface extension is proposed, which describes the three-dimensional graph as a set of local rotation and scale invariant points. Effective indexing and approximate optimization techniques are also used to speed up MRF reasoning.

Keywords

Three-dimensional shapes Shape retrieval SURF 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of MathematicsZhengzhou University of AeronauticsZhengzhouChina
  2. 2.School of SoftwareZhengzhou UniversityZhengzhouChina

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