Scale Invariant Face Detection Method Using Higher-Order Local Autocorrelation Features Extracted from Log-Polar Image

This paper proposes a scale invariant face detection method which combines higher-order local autocorrela-tion (HLAC) features extracted from a log-polar transformed image with Linear Discriminant Analysis for \face" and \not face" classiication. Since HLAC features of log-polar image 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 scal-ings 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.