A neural network approach to CSG-Based 3-D object recognition

Tsu Wang Chen*, Wei Chung Lin

*Corresponding author for this work

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

1 Scopus citations

Abstract

The recognition subsystem of a vision system based on a constructive solid geometry (CSG) representation scheme is described. From the image, a description about the scene--precedence graph--is inferred. Object recognition is formulated as matching a scene precedence graph to a model precedence graph which is executed by a constraint satisfaction network.

Original languageEnglish (US)
Title of host publicationProc 91 IEEE Comput Soc Conf Comput Vision Pattern Recognit
PublisherPubl by IEEE
Pages718-719
Number of pages2
ISBN (Print)0818621486
StatePublished - Dec 1 1991
EventProceedings of the 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Maui, HI
Duration: Jun 3 1991Jun 6 1991

Other

OtherProceedings of the 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CityMaui, HI
Period6/3/916/6/91

ASJC Scopus subject areas

  • Engineering(all)

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