ML Anthology

Surface Regions of Interest for Viewpoint Selection

George Leifman, Elizabeth Shtrom, Ayellet Tal
CVPR 2012 pp. 414-421
doi:10.1109/CVPR.2012.6247703 /cvpr/2012/leifman2012cvpr-surface/

Abstract

While the detection of the interesting regions in images has been extensively studied, relatively few papers have addressed surfaces. This paper proposes an algorithm for detecting the regions of interest of surfaces. It looks for regions that are distinct both locally and globally and accounts for the distance to the foci of attention. Many applications can utilize these regions. In this paper we explore one such application - viewpoint selection. The most informative views are those that collectively provide the most descriptive presentation of the surface. We show that our results compete favorably with the state-of-the-art results.

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Cite

Text

Leifman et al. "Surface Regions of Interest for Viewpoint Selection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012. doi:10.1109/CVPR.2012.6247703

Markdown

[Leifman et al. "Surface Regions of Interest for Viewpoint Selection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012.](https://mlanthology.org/cvpr/2012/leifman2012cvpr-surface/) doi:10.1109/CVPR.2012.6247703

BibTeX

@inproceedings{leifman2012cvpr-surface,
  title     = {{Surface Regions of Interest for Viewpoint Selection}},
  author    = {Leifman, George and Shtrom, Elizabeth and Tal, Ayellet},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2012},
  pages     = {414-421},
  doi       = {10.1109/CVPR.2012.6247703},
  url       = {https://mlanthology.org/cvpr/2012/leifman2012cvpr-surface/}
}