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Titlebook: Intelligent Techniques in Signal Processing for Multimedia Security; Nilanjan Dey,V. Santhi Book 2017 Springer International Publishing Sw

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Face Recognition Under Dry and Wet Face Conditionsvely. However, none of the works has made an attempt to address a special case of traditional face recognition, i.e., face recognition under dry and wet face conditions. Here, the gallery face is supposed to be dry face and the probe is a wet face, which comes into picture if the face recognition is
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Improved Approach for 3D Face Characterizationization, expression recognition, human–computer interaction and face tracking. We are interested in the extraction of the pertinent features in 3D face. In this paper, we propose an improved algorithm for 3D face characterization. We propose novel characteristics based on seven salient points of the
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Attendance Recording System Using Partial Face Recognition Algorithmded in the maintenance and management of the traditional attendance sheets is tedious as it costs quite a time for the lecturer. Thus, there is a requirement for robust computerized biometric-based attendance recording system (ARS). Face recognition-based methods are a potential replacement for conv
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Automatic Human Emotion Recognition in Surveillance Videomputer vision. The recognition of complete-body expressions is significantly harder, because the pattern of the human pose has additional degrees of self-determination than the face alone, and its overall shape varies robustly during articulated motion. This chapter presents a method for emotion rec
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nctions (VNF) to be executed according to a given order. The running of VNFs needs the instantiation of VNF Instances (VNFIs) that are software modules executed on Virtual Machines. In this paper we cope with the migration problem of the VNFIs needed in the low traffic periods to switch off servers
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