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

Paper:

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)

Received:
April 22, 2005
Accepted:
June 27, 2005
Published:
January 20, 2006
Keywords:
face detection, low resolution
Abstract

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.
Data files:
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Last updated on Mar. 05, 2021