Object Recognition by Affine Invariant Matching

Abstract

Novel techniques are described for model-based recognition of 3-D objects from unknown viewpoints using single-gray-scale images. The objects in the scene may be overlapping and partially occluded. Efficient matching algorithms, which assume affine approximation to the perspective viewing transformation, are proposed. The study is currently restricted to flat rigid 3-D objects. Point, line and curve matching algorithms are presented. The study especially emphasizes the curve matching problem. Experimental results are included.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Lamdan et al. "Object Recognition by Affine Invariant Matching." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196257

Markdown

[Lamdan et al. "Object Recognition by Affine Invariant Matching." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/lamdan1988cvpr-object/) doi:10.1109/CVPR.1988.196257

BibTeX

@inproceedings{lamdan1988cvpr-object,
  title     = {{Object Recognition by Affine Invariant Matching}},
  author    = {Lamdan, Yehezkel and Schwartz, Jacob T. and Wolfson, Haim J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {335-344},
  doi       = {10.1109/CVPR.1988.196257},
  url       = {https://mlanthology.org/cvpr/1988/lamdan1988cvpr-object/}
}