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

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. >

Cite

Text

Collins and Beveridge. "Matching Perspective Views of Coplanar Structures Using Projective Unwarping and Similarity Matching." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.340983

Markdown

[Collins and Beveridge. "Matching Perspective Views of Coplanar Structures Using Projective Unwarping and Similarity Matching." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/collins1993cvpr-matching/) doi:10.1109/CVPR.1993.340983

BibTeX

@inproceedings{collins1993cvpr-matching,
  title     = {{Matching Perspective Views of Coplanar Structures Using Projective Unwarping and Similarity Matching}},
  author    = {Collins, Robert T. and Beveridge, J. Ross},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {240-245},
  doi       = {10.1109/CVPR.1993.340983},
  url       = {https://mlanthology.org/cvpr/1993/collins1993cvpr-matching/}
}