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Heterogeneous face recognition is a challenging research problem which involves matching of the faces captured from different sensors. Very few methods have been designed to solve this problem using intensity features and considered small sample size issue. In this paper, we consider the worst case scenario when there exists a single instance of an individual image in a gallery with normal modality...
Face recognition subject to uncontrolled illumination and blur is challenging. Interestingly, image degradation caused by blurring, often present in real-world imagery, has mostly been overlooked by the face recognition community. Such degradation corrupts face information and affects image alignment, which together negatively impact recognition accuracy. We propose a number of countermeasures designed...
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