AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces (2017-06-13T00:00:00.000000Z)

TL;DR

A new strategy inspired by the behavior of humans in gender recognition is advocated, which relies on the combination of isolated facial features and a holistic feature which it is called the foggy face, to deal with the face image as a sole feature.

Authors

M. Afifi

10 papers

A. Abdelhamed

3 papers

TL;DR

Authors

References49 items

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