Survey on Shape Descriptors Based on Spectral Analysis for Non-rigid 3D Shape Matching
Author:
Affiliation:

Clc Number:

TP391

Fund Project:

National Key Cooperation Between the BRICS Program of China (2017YFE0100500); National Key Technology R&D Program of China (2017YFB1002600, 2017YFB1402105, 2017YFB1002804); National Nature Science Foundation of China (61402042); Natural Science Foundation of Beijing Municipality (4172033); Major Independent Innovation Project of Qingdao City (2017-4-3-2-xcl)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The shape descriptors based on spectral analysis have achieved good matching results in 3D non-rigid shape matching, which have attracted wide attention of researchers. Spectral analysis is an intrinsic shape analysis method based on spectral decomposition of Laplace-Beltrami operator on manifold, including spectral shape descriptors and spectral distance distribution functions, which have different mathematical properties and physical meanings. Based on two different types of shape descriptors, this paper gives a detailed method analysis and its application in shape matching. Firstly, this paper provides a 3D non-rigid shape matching framework by applying the shape descriptors based on spectral analysis, and the basic ideas and calculation methods of several commonly used spectral shape descriptors and spectral distance distribution functions are introduced. Secondly, this paper analyzes and compares the advantages and disadvantages of these methods and their application scenarios and provides reference for researchers to choose shape descriptors based on spectral analysis. Finally, the robustness, time consumption, and non-rigid matching performances of different shape descriptors based on spectral analysis are compared through experiments to promote the application process of shape descriptors based on spectral analysis.

    Reference
    Related
    Cited by
Get Citation

张丹,武仲科,王醒策,吕辰雷,刘香圆,周明全.非刚性三维形状匹配中基于谱分析的形状描述符综述.软件学报,2019,30(8):2545-2568

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:October 12,2018
  • Revised:December 28,2018
  • Adopted:
  • Online: April 11,2019
  • Published:
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063