Gender Classification Based on Multiscale Facial Fusion Feature
نویسندگان
چکیده
منابع مشابه
AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces
Gender classification aims at recognizing a person’s gender. Despite the high accuracy achieved by state-of-the-art methods for this task, there still room for improvement in generalized and unrestricted datasets. In this paper, we advocate a new strategy inspired by the behavior of humans in gender recognition. Instead of dealing with the face image as a sole feature, we rely on the combinatio...
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2018
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2018/1924151