Human facial feature extraction for face interpretation and recognition

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Facial features' extraction algorithms which can be used for automated visual interpretation and recognition of human faces are presented. Here, we can capture the contours of the eye and mouth by a deformable template model because of their analytically describable shapes. However, the shapes of the eyebrow, nostril and face are difficult to model using a deformable template. We extract them by using an active contour model (snake). In the experiments, 12 models are photographed, and the feature contours are extracted for each portrait.

论文关键词:Feature extraction,Deformable contour,Active contour,Greedy algorithm

论文评审过程:Received 6 August 1991, Revised 26 March 1992, Accepted 28 April 1992, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(92)90118-3