A technique that automatically locates specific facial points on an unknown face image is presented. This technique uses log Gabor wavelets to represent each facial point by embedding local surrounding features. Using a sample log Gabor response of a facial point, locations on the unknown face image that appear similar to the sample facial point are detected. We identify facial points by employing geometric relationships between the facial points that are invariant to 2D rotations and scaling. An experiment is reported that uses three sample face images to determine the log Gabor representation of each facial point, and the technique is tested on an unknown face image. It demonstrates that the log Gabor representation is effective in finding similar-features by successfully detecting and identifying all of the seven specified facial points.
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