Matching Perspective Views of Coplanar Structures using Projective Unwarping and Similarity Matching

Robert Collins and J. R. Beveridge
IEEE Computer Vision and Pattern Recognition, June, 1993, pp. 240-245.


Download
  • Adobe portable document format (pdf) (208KB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract
The problem of matching perspective views of coplanar structures composed of line segments is considered. 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. When the horizon line of the object plane can be found in the image, which is accomplished in this case by using vanishing point analysis, these problems reduce to a simpler six-parameter affine matching problem. When the intrinsic lens parameters of the camera are known, the problem further reduces to four-parameter affine similarity matching.

Notes

Text Reference
Robert Collins and J. R. Beveridge, "Matching Perspective Views of Coplanar Structures using Projective Unwarping and Similarity Matching," IEEE Computer Vision and Pattern Recognition, June, 1993, pp. 240-245.

BibTeX Reference
@inproceedings{Collins_1993_1917,
   author = "Robert Collins and J. R. Beveridge",
   title = "Matching Perspective Views of Coplanar Structures using Projective Unwarping and Similarity Matching",
   booktitle = "IEEE Computer Vision and Pattern Recognition",
   pages = "240-245",
   month = "June",
   year = "1993",
}