ML Anthology

Local Appearance for Robust Object Recognition

Deeptiman Jugessur, Gregory Dudek
CVPR 2000 pp. 1834-
doi:10.1109/CVPR.2000.855907 /cvpr/2000/jugessur2000cvpr-local/

Abstract

We present an approach to appearance-based object recognition using single camera images. Our approach is based on using an attention mechanism to obtain visual features that are generic, robust and informative. The features themselves are recognized using principal components an the frequency domain. In this paper we show how the visual characteristics of only a small number of such features can be used for appearance-based object recognition that is not confounded by planar rotations or background clutter.

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Cite

Text

Jugessur and Dudek. "Local Appearance for Robust Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.855907

Markdown

[Jugessur and Dudek. "Local Appearance for Robust Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/jugessur2000cvpr-local/) doi:10.1109/CVPR.2000.855907

BibTeX

@inproceedings{jugessur2000cvpr-local,
  title     = {{Local Appearance for Robust Object Recognition}},
  author    = {Jugessur, Deeptiman and Dudek, Gregory},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2000},
  pages     = {1834-},
  doi       = {10.1109/CVPR.2000.855907},
  url       = {https://mlanthology.org/cvpr/2000/jugessur2000cvpr-local/}
}