Facial Age Estimation based on Decision Level Fusion of AAM, LBP and Gabor Features
نویسندگان
چکیده
منابع مشابه
Facial Age Estimation based on Decision Level Fusion of AAM, LBP and Gabor Features
In this paper a new hierarchical age estimation method based on decision level fusion of global and local features is proposed. The shape and appearance information of human faces which are extracted with active appearance models (AAM) are used as global facial features. The local facial features are the wrinkle features extracted with Gabor filters and skin features extracted with local binary...
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This paper proposes a novel age estimation method Global and Local feAture based Age estiMation (GLAAM) relying on global and local features of facial images. Global features are obtained with Active Appearance Models (AAM). Local features are extracted with regional 2D-DCT (2dimensional Discrete Cosine Transform) of normalized facial images. GLAAM consists of the following modules: face normal...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2015
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2015.060803