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Published Articles >> Table of Contents >> Abstract
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06)
pp. 1506-1512
A Detection Technique for Degraded Face Images
Shinji Hayashi, Tokyo Institute of Technology
Osamu Hasegawa, PRESTO, Japan Science and Technology Agency (JST)
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2006.22
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| Abstract |
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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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Citation:
Shinji Hayashi, Osamu Hasegawa,
"A Detection Technique for Degraded Face Images,"
cvpr,
pp. 1506-1512,
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06),
2006
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