Abstract
A facial parts detection technique that is robust for face poses is described. The initial probability is obtained by template matching of the four directional features. Positions of facial parts are detected by relaxation matching using the spring connection of each facial part. The relaxation method has a problem that requires much computation time. We propose a high-speed relaxation technique for facial parts detection. Experiments show that facial parts are detectable to the multi-directional face image database.
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