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Object Matching in the Presence of Non-Rigid Deformations Close to Similarities

Evguenia Balmachnova, Bram Platel, Luc Florack, Bart M. ter Haar Romeny
ICCV 2007 pp. 1-8
doi:10.1109/ICCV.2007.4409177 /iccv/2007/balmachnova2007iccv-object/

Abstract

In this paper we address the problem of object retrieval based on scale-space interest points, namely top-points. The original retrieval algorithm can only cope with scale-Euclidean transformations. We extend the algorithm to the case of non-rigid transformations like affine and perspective transformations and investigate its robustness. The proposed algorithm is proven to be highly robust under various degrading factors, such as noise, occlusion, rendering artifacts, etc. and can deal with multiple occurrences of the object.

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Cite

Text

Balmachnova et al. "Object Matching in the Presence of Non-Rigid Deformations Close to Similarities." IEEE/CVF International Conference on Computer Vision, 2007. doi:10.1109/ICCV.2007.4409177

Markdown

[Balmachnova et al. "Object Matching in the Presence of Non-Rigid Deformations Close to Similarities." IEEE/CVF International Conference on Computer Vision, 2007.](https://mlanthology.org/iccv/2007/balmachnova2007iccv-object/) doi:10.1109/ICCV.2007.4409177

BibTeX

@inproceedings{balmachnova2007iccv-object,
  title     = {{Object Matching in the Presence of Non-Rigid Deformations Close to Similarities}},
  author    = {Balmachnova, Evguenia and Platel, Bram and Florack, Luc and ter Haar Romeny, Bart M.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2007},
  pages     = {1-8},
  doi       = {10.1109/ICCV.2007.4409177},
  url       = {https://mlanthology.org/iccv/2007/balmachnova2007iccv-object/}
}