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中国图象图形学报 2000
Automatic Localizing Main Facial Features in Color Images
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Abstract:
Facial features localization is very important in face recognition by machine. In this paper a novel method which performs main facial features localization in color information is put forward. It utilizes only red component of the color image to simplify processing cost and improve SNR, segments high gray level region and low gray level region in order to localize facial features in segmented regions, first localizes the vertical position of chin, mouth, nose, and eyes with gray level projection, then localizes the horizontal position of them in associated vertical positions. In this method, nose is first localized to aid other features' localization. The output of this method is positions of eyes, position of nose tip and width of nose, position of mouth and width of mouth, and position of chin. Computer simulation shows that this algorithm has high accuracy and good robustness.