An improved algorithm of viewpoint space partition in 3D object recognition application

Yuan Luo*, Huimin Ma, Fengting Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Aspect graph is an important method in 3D object recognition. To effectively compute the viewpoint space partition (VSP) is critical in acquiring a good aspect graph. In this paper, we present improvements to the VSP algorithm under perspective model: computing EV (Edge Vertex) events using triangle face feature; simplifying VSP representation; boundary intersection updating; closed loop region computing; generating multi-resolution VSP. We show the partition results, which demonstrate our algorithm's effectiveness and fastness (less than 2 min). Based on the aspect graph constructed using the improved algorithm, we perform 3D object recognition, which matched all tested objects to the correct counterparts in database.

Original languageEnglish (US)
Title of host publicationProceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006
Pages34-39
Number of pages6
StatePublished - 2006
Externally publishedYes
Event8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006 - Honolulu, HI, United States
Duration: Aug 14 2006Aug 16 2006

Publication series

NameProceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006

Conference

Conference8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006
Country/TerritoryUnited States
CityHonolulu, HI
Period8/14/068/16/06

Keywords

  • 3D object recognition
  • Aspect graph
  • Critical events
  • Viewpoint space partition

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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