JACIII Vol.10 No.1 pp. 93-101
doi: 10.20965/jaciii.2006.p0093


Robust Face Detection for Low-Resolution Images

Shinji Hayashi*, and Osamu Hasegawa*,**

*Tokyo Institute of Technology, R2-52, 4259 Nagatsuta, Midori-ku, Yokohama 226-8503, Japan

**PRESTO, Japan Science and Technology Agency (JST)

April 22, 2005
June 27, 2005
January 20, 2006
face detection, low resolution

Face detection, one of the most actively researched and progressive computer vision fields, has been little studied in low-resolution images. Using the AdaBoost-based face detector and MIT+CMU frontal face test set – the standard detector and images for evaluation in face detection – we found that face detection rate falls to 39% from 88% as face resolution decreases from 24×24 pixels to 6×6 pixels. We discuss a proposal using “portrait images,” “image expansion,” “frequency-band limitation of features” and “two-detector integration” and show that 71% of face detection rate is obtained for 6×6 pixel faces of MIT+CMU frontal face test set. Note that each of the above detections involves 100 false positives for 112 evaluation images.

Cite this article as:
Shinji Hayashi and Osamu Hasegawa, “Robust Face Detection for Low-Resolution Images,” J. Adv. Comput. Intell. Intell. Inform., Vol.10, No.1, pp. 93-101, 2006.
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Last updated on Mar. 05, 2021