The Role of Face Parts in Gender Recognition
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
On the Complementarity of Face Parts for Gender Recognition
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Gender recognition via locality preserving tensor analysis on face images
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
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The main purpose of our research is to evaluate which subject's facial parts are most effective at making the difference between men and women. We prepared the four directional feature fields on multiple facial parts images, such as face, jaw, lip, nose, eyes, and R eye. Then, we recognized these images by using the linear discriminate analysis. Furthermore, we analyzed the feature space by using cluster discriminate analysis. After experimenting on a large number of subjects, we conclude that face and jaw make good feature spaces.