Constrained viewpoint from occluding contour

W. Brent Seales, Charles R. Dyer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

This paper addresses the problem of how to constrain the set of viewpoints from which a 3D model will project to a given a set of occluding contour features. Our approach is new in that it relies on a precomputed occluding contour representation for polyhedral models that makes T-junctions, contour terminals and the change in contour topology explicit. Potential model-image correspondences of occluding contour features can be formulated as regions in viewpoint space defined by constraint boundaries since features are only visible from a restricted set of viewpoints. The implementation results demonstrate that T-junction features can efficiently constrain the space of viewpoints to produce a small, bounded viewpoint set that accounts for the occluding contour features.

Original languageEnglish
Title of host publication1991 Proceedings - Workshop on Directions in Automated CAD-Based Vision, CADVIS 1991
Pages54-63
Number of pages10
ISBN (Electronic)0818621478, 9780818621475
DOIs
StatePublished - 1991
Event1991 Workshop on Directions in Automated CAD-Based Vision, CADVIS 1991 - Maui, United States
Duration: Jun 2 1991Jun 3 1991

Publication series

Name1991 Proceedings - Workshop on Directions in Automated CAD-Based Vision, CADVIS 1991

Conference

Conference1991 Workshop on Directions in Automated CAD-Based Vision, CADVIS 1991
Country/TerritoryUnited States
CityMaui
Period6/2/916/3/91

Bibliographical note

Funding Information:
Support of the University of Wisconsin Graduate School under Project No. 910288 and the National Science Foundation under Grant Nos. IRI-8802436 and DCR-8521228 is gratefully acknowledged.

Publisher Copyright:
© 1991 Proceedings - Workshop on Directions in Automated CAD-Based Vision, CADVIS 1991. All rights reserved.

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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