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Probabilistic Modeling for Detection and Gender Classification
2014
International Journal of Computer Vision and Image Processing
In this paper, the authors contribute to solve the simultaneous problems of detection and gender classification from any viewpoint. The authors use an invariant model for accurate face localization based on a combination of appearance and geometric. A probabilistic matching of visual traits allows to classify the gender of face even when pose changes. The authors deal with the local invariant features whose performances have already been proved. Each facial feature retained in the detection
doi:10.4018/ijcvip.2014010103
fatcat:nu5jcjq4krflnaxvuteymw7w3i