Matching perspective views of coplanar structures using projective unwarping and similarity matching

Robert Collins, J. Ross Beveridge

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

24 Scopus citations

Abstract

We consider the problem of matching perspective views of coplanar structures composed of line segments. Both model-to-image and image-to-image correspondence matching are given a consistent treatment. These matching scenarios generally require discovery of an eight parameter projective mapping. However, when the horizon line of the object plane can be found in the image, done here using vanishing point analysis, these problems reduce to a simpler size parameter affine matching problem. When the intrinsic lens parameters of the camera are known, the problem further reduces to four parameter affine similarity matching.

Original languageEnglish (US)
Title of host publicationIEEE Computer Vision and Pattern Recognition
Editors Anon
PublisherPubl by IEEE
Pages240-245
Number of pages6
ISBN (Print)0818638826
StatePublished - Dec 1 1993
EventProceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - New York, NY, USA
Duration: Jun 15 1993Jun 18 1993

Publication series

NameIEEE Computer Vision and Pattern Recognition

Other

OtherProceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CityNew York, NY, USA
Period6/15/936/18/93

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Collins, R., & Beveridge, J. R. (1993). Matching perspective views of coplanar structures using projective unwarping and similarity matching. In Anon (Ed.), IEEE Computer Vision and Pattern Recognition (pp. 240-245). (IEEE Computer Vision and Pattern Recognition). Publ by IEEE.