3D Model retrieval based on fuzzy weighted shape distributions

Zeng Qiang Chen, Kuan Sheng Zou, Wai Hung Ip, Ching Yuen Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Shape distribution is considered as a kind of art state 3D model retrieval algorithm due to its simplicity, robustness, and not need model pretreatment. Its disadvantage is that the retrieval precision is not high enough. Despite the introduction of five kinds of shape functions, each of which can not sufficiently expresse the 3D models. This paper uses the D2 distribution, the improved D1 distribution and the total surface area method to retrieve 3D models respectively. Then give weights to each method after unitary them. Set fuzzy rules are set to decide the fuzzy weights of three methods according to the mean proportion and variance proportion, Experimental results show that this algorithm can improve the retrieval results significantly.
Original languageEnglish
Title of host publicationAdvanced Manufacturing Systems
PublisherTrans Tech Publications Ltd
Pages1678-1681
Number of pages4
ISBN (Print)9783037850398
DOIs
Publication statusPublished - 1 Jan 2011

Publication series

NameAdvanced Materials Research
Volume201-203
ISSN (Print)1022-6680

Keywords

  • 3D database
  • 3D model retrieval
  • Fuzzy reasoning
  • Fuzzy rulers
  • Shape distribution

ASJC Scopus subject areas

  • Engineering(all)

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