Gaussian Mixture Models for Human Face Recognition under Illumination Variations
نویسندگان
چکیده
منابع مشابه
Gaussian Mixture Models for Human Face Recognition under Illumination Variations
The appearance of a face is severely altered by illumination conditions that makes automatic face recognition a challenging task. In this paper we propose a Gaussian Mixture Models (GMM)-based human face identification technique built in the Fourier or frequency domain that is robust to illumination changes and does not require “illumination normalization” (removal of illumination effects) prio...
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ژورنال
عنوان ژورنال: Applied Mathematics
سال: 2012
ISSN: 2152-7385,2152-7393
DOI: 10.4236/am.2012.312a286