Single plane model extension using projective transformations and data fusion

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

Abstract

A priori knowledge of the relative positions of four or more coplanar points or lines is used to derive the positions of other points and lines on the same plane in a manner invariant to camera location and intrinsic camera parameters. A framework for data fusion in the projective plane is presented to merge the position estimates of coplanar points and lines derived in this way.

Original languageEnglish (US)
Title of host publicationProceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PublisherIEEE Computer Society
Pages752-754
Number of pages3
ISBN (Electronic)0818628553
DOIs
StatePublished - Jan 1 1992
Event1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992 - Champaign, United States
Duration: Jun 15 1992Jun 18 1992

Publication series

NameProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume1992-June
ISSN (Print)1063-6919

Conference

Conference1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992
CountryUnited States
CityChampaign
Period6/15/926/18/92

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All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition

Cite this

Collins, R. (1992). Single plane model extension using projective transformations and data fusion. In Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 752-754). [223183] (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 1992-June). IEEE Computer Society. https://doi.org/10.1109/CVPR.1992.223183