ML Anthology

Automatic Line Matching Across Views

Cordelia Schmid, Andrew Zisserman
CVPR 1997 pp. 666-671
doi:10.1109/CVPR.1997.609397 /cvpr/1997/schmid1997cvpr-automatic/

Abstract

The paper presents a new method for matching individual line segments between images. The method uses both grey-level information and the multiple view geometric relations between the images. For image pairs epipolar geometry facilitates the computation of a cross-correlation based matching score for putative line correspondences. For image triplets cross-correlation matching scores are used in conjunction with line transfer based on the trifocal geometry. Algorithms are developed for both short and long range motion. In the case of long range motion the algorithm involves evaluating a one parameter family of plane induced homographies. The algorithms are robust to deficiencies in the line segment extraction and partial occlusion. Experimental results are given for image pairs and triplets, for varying motions between views, and for different scene types. The three view algorithm eliminates all mismatches.

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Cite

Text

Schmid and Zisserman. "Automatic Line Matching Across Views." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609397

Markdown

[Schmid and Zisserman. "Automatic Line Matching Across Views." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/schmid1997cvpr-automatic/) doi:10.1109/CVPR.1997.609397

BibTeX

@inproceedings{schmid1997cvpr-automatic,
  title     = {{Automatic Line Matching Across Views}},
  author    = {Schmid, Cordelia and Zisserman, Andrew},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1997},
  pages     = {666-671},
  doi       = {10.1109/CVPR.1997.609397},
  url       = {https://mlanthology.org/cvpr/1997/schmid1997cvpr-automatic/}
}