Multi Modal Face Recognition Using Block Based Curvelet Features
نویسندگان
چکیده
منابع مشابه
Multi Modal Face Recognition Using Block Based Curvelet Features
In this paper, we present multimodal 2D +3D face recognition method using block based curvelet features. The 3D surface of face (Depth Map) is computed from the stereo face images using stereo vision technique. The statistical measures such as mean, standard deviation, variance and entropy are extracted from each block of curvelet subband for both depth and intensity images independently.In ord...
متن کاملMulti Modal Face Recognition Using Block Based Curvelet Features
In this paper, we present multimodal 2D +3D face recognition method using block based curvelet features. The 3D surface of face (Depth Map) is computed from the stereo face images using stereo vision technique. The statistical measures such as mean, standard deviation, variance and entropy are extracted from each block of curvelet subband for both depth and intensity images independently.In ord...
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ژورنال
عنوان ژورنال: International Journal of Computer Graphics & Animation
سال: 2014
ISSN: 2231-3591,2231-3281
DOI: 10.5121/ijcga.2014.4203