CAD-based computer vision for 3-D object recognition

Ching Yao Kao, Soundar R.T. Kumara, Octavia I. Camps, Rangachar Kasturi

Research output: Contribution to conferencePaper

2 Scopus citations

Abstract

As CAD/CAM systems contribute to the integration of manufacturing systems, the idea of utilizing CAD as a geometric modeling tool for model-based object recognition motivates the research of building a CAD-based object recognition system. This research proposes a methodology which consists of three subtasks for solving the problem of CAD-based object recognition: (1) transformation from CAD to graph-based representations, (2) transformation from images to graph-based representations, and (3) the matching of the two representations to identify the object in the image. A similarity measure between attributed-graphs is proposed to perform inexact structural matching between attributed-graphs for approximate reasoning of object faces. The CAD database is organized in a hierarchical fashion which helps the matching and verification of higher level features. This system is interfaced to I-DEAS Solid Modeling.

Original languageEnglish (US)
Pages269-275
Number of pages7
StatePublished - Dec 1 1995
EventProceedings of the 1995 4th Industrial Engineering Research Conference - Nashville, TN, USA
Duration: May 24 1995May 25 1995

Other

OtherProceedings of the 1995 4th Industrial Engineering Research Conference
CityNashville, TN, USA
Period5/24/955/25/95

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All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Kao, C. Y., Kumara, S. R. T., Camps, O. I., & Kasturi, R. (1995). CAD-based computer vision for 3-D object recognition. 269-275. Paper presented at Proceedings of the 1995 4th Industrial Engineering Research Conference, Nashville, TN, USA, .