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Because of the limitation of Monogenic waves' extraction from expression texture, this thesis proposes an adaptive facial expression feature fusion method based on MBP (monogenic binary pattern) and Histogram of HMOG (monogenic orientated gradients). To begin with our method, we get information of orientation, phase and magnitude component from filtered image by monogenic waves, besides, extract and...
In order to overcome the one-sidedness and limitations of a single subspace in feature extraction and classification, we propose a face recognition method that extracts features in double complementary space and utilize multi-decision for classification. In the feature extraction stage, we use ICA and LPE algorithm as the first layer in complementary space to extract global and local features of the...
Skin detection is an important work before face detection and tracking, hand detecting, adult image filtering, etc. But it is very difficult in images with complex background. Some non-skin pixels are usually mistakenly detected as skin pixels. This paper proposes an improved skin detection method that combines RGB color space and YCgCb color space, then uses the texture information detect skin areas...
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