Sanjoy Mazumder

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Researches on identification of Skin diseases from the digital images are increasing due to multidimensional challenges of the domain. Most of the researches are based upon the freely available digital images from the internet instead of real ground truth data set. To address these problems, we first created a ground truth dataset consisting of 876 images(More)
We present a novel framework for recognition of facial expressions from a given face image. The framework is based on the assumption that expression information lies in the subspace orthogonal to the subspace representing expression-neutral faces. For deriving the principal subspace of the face images showing no expression, PCA is used as a tool. Then we(More)
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