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 Citations (Scopus)

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 - 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

Other

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

Fingerprint

Lenses
Cameras

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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). Publ by IEEE.
Collins, Robert ; Beveridge, J. Ross. / Matching perspective views of coplanar structures using projective unwarping and similarity matching. IEEE Computer Vision and Pattern Recognition. editor / Anon. Publ by IEEE, 1993. pp. 240-245
@inproceedings{a465573038504513ba5de340b959fda4,
title = "Matching perspective views of coplanar structures using projective unwarping and similarity matching",
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.",
author = "Robert Collins and Beveridge, {J. Ross}",
year = "1993",
language = "English (US)",
isbn = "0818638826",
pages = "240--245",
editor = "Anon",
booktitle = "IEEE Computer Vision and Pattern Recognition",
publisher = "Publ by IEEE",

}

Collins, R & Beveridge, JR 1993, Matching perspective views of coplanar structures using projective unwarping and similarity matching. in Anon (ed.), IEEE Computer Vision and Pattern Recognition. Publ by IEEE, pp. 240-245, Proceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, NY, USA, 6/15/93.

Matching perspective views of coplanar structures using projective unwarping and similarity matching. / Collins, Robert; Beveridge, J. Ross.

IEEE Computer Vision and Pattern Recognition. ed. / Anon. Publ by IEEE, 1993. p. 240-245.

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

TY - GEN

T1 - Matching perspective views of coplanar structures using projective unwarping and similarity matching

AU - Collins, Robert

AU - Beveridge, J. Ross

PY - 1993

Y1 - 1993

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0027873210&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027873210&partnerID=8YFLogxK

M3 - Conference contribution

SN - 0818638826

SP - 240

EP - 245

BT - IEEE Computer Vision and Pattern Recognition

A2 - Anon, null

PB - Publ by IEEE

ER -

Collins R, Beveridge JR. Matching perspective views of coplanar structures using projective unwarping and similarity matching. In Anon, editor, IEEE Computer Vision and Pattern Recognition. Publ by IEEE. 1993. p. 240-245