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In this paper, we introduce new methods to encode color local texture features for enhanced face representation. In particular, we first propose a novel descriptor; color local phase quantization (CLPQ), which incorporates (channel-wise) unichrome and (cross channel) opponent features in frequency domain. Furthermore, we extend the CLPQ descriptor to multiple scales i.e. multiscale color LPQ (MS-CLPQ),...
This paper shows a work done under Affective Computing umbrella and in the field of emotion recognition. The paper explores the anatomy of a human face and builds the classification model based on it. The anatomical information of face is used to locate several points on the face and to extract the features. The features are in form of distance vectors which can be of specific person or group of persons...
OCR is the system that works in the domain of Natural Language Processing and Image Processing. This system is used to convert all the text information that is present in image form to text format. For OCR, identification of the text in printed, handwritten and degraded document images is a challenging task due to the high inter/intra-variation between the background and the foreground of document...
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