ML Anthology

Recognition of Planar Object Classes

Michael C. Burl, Pietro Perona
CVPR 1996 pp. 223-230
doi:10.1109/CVPR.1996.517078 /cvpr/1996/burl1996cvpr-recognition/

Abstract

We present a new framework for recognizing planar object classes, which is based on local feature detectors and a probabilistic model of the spatial arrangement of the features. The allowed object deformations are represented through shape statistics, which are learned from examples. Instances of an object in an image are detected by finding the appropriate features in the correct spatial configuration. The algorithm is robust with respect to partial occlusion, detector false alarms, and missed features. A 94% success rate was achieved for the problem of locating quasi-frontal views of faces in cluttered scenes.

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Cite

Text

Burl and Perona. "Recognition of Planar Object Classes." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996. doi:10.1109/CVPR.1996.517078

Markdown

[Burl and Perona. "Recognition of Planar Object Classes." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996.](https://mlanthology.org/cvpr/1996/burl1996cvpr-recognition/) doi:10.1109/CVPR.1996.517078

BibTeX

@inproceedings{burl1996cvpr-recognition,
  title     = {{Recognition of Planar Object Classes}},
  author    = {Burl, Michael C. and Perona, Pietro},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1996},
  pages     = {223-230},
  doi       = {10.1109/CVPR.1996.517078},
  url       = {https://mlanthology.org/cvpr/1996/burl1996cvpr-recognition/}
}