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Scale invariant face detection method using higher-order local autocorrelation features extracted from log-polar image

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3 Author(s)
Hotta, K. ; Saitama Univ., Urawa, Japan ; Kurita, T. ; Mishima, T.

This paper proposes a scale invariant face detection method which combines higher-order local autocorrelation (HLAC) features extracted from a log-polar transformed image with linear discriminant analysis for “face” and “not face” classification. Since HLAC features of log-polar images are sensitive to shifts of a face, we utilize this property and develop a face detection method. HLAC features extracted from a log-polar image become scale and rotation invariant because scalings and rotations of a face are expressed as shifts in a log-polar image (coordinate). By combining these features with the linear discriminant analysis which is extended to treat “face” and “not face” classes, a scale invariant face detection system can be realized

Published in:

Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on

Date of Conference:

14-16 Apr 1998

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