Comparison of 2D/3D Features and Their Adaptive Score Level Fusion for 3D Face Recognition


3D face has been introduced in the literature to deal with the unsolved issues of 2D face recognition, namely lighting and pose variations. In this paper, we study and compare the distinctiveness of features extracted from both the registered 2D face images and 3D face models. Sparse Representation Classifier (SRC) is exploited to calculate all similarity… (More)


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