ML Anthology

A Detection Technique for Degraded Face Images

Shinji Hayashi, Osamu Hasegawa
CVPR 2006 pp. 1506-1512
doi:10.1109/CVPR.2006.22 /cvpr/2006/hayashi2006cvpr-detection/

Abstract

This paper describes a face detection technique that enables detection of extremely small faces such as 6 × 6 pixel. This is the first approach to detect very low-resolution faces in the field of face detection. First, we use a conventional AdaBoost-based face detector to show that the face detection rate falls to 39% from 88% as face resolution decreases from 24 × 24 pixels to 6 × 6 pixels. Second, we propose a new face detection method comprising four techniques. It improves the face detection rate from 39% to 73% for 6 × 6 pixel faces of the MIT+CMU frontal face test set. Finally, we applied our method to real world data. By merging results of some frames and judging using a threshold, we show that our method is effective for processing real world data.

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Cite

Text

Hayashi and Hasegawa. "A Detection Technique for Degraded Face Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006. doi:10.1109/CVPR.2006.22

Markdown

[Hayashi and Hasegawa. "A Detection Technique for Degraded Face Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006.](https://mlanthology.org/cvpr/2006/hayashi2006cvpr-detection/) doi:10.1109/CVPR.2006.22

BibTeX

@inproceedings{hayashi2006cvpr-detection,
  title     = {{A Detection Technique for Degraded Face Images}},
  author    = {Hayashi, Shinji and Hasegawa, Osamu},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2006},
  pages     = {1506-1512},
  doi       = {10.1109/CVPR.2006.22},
  url       = {https://mlanthology.org/cvpr/2006/hayashi2006cvpr-detection/}
}