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In this paper, we propose a new approach for constructing a 3D morph able model (3DMM) and experiment its application to face recognition. Differently from existing solutions, the proposed 3DMM is constructed from a training set that includes a large spectrum of variability in terms of ethnicity and facial expressions. By exploiting annotated landmarks available in the training data, we are able of...
In this paper, we present a novel and original framework for computing Local Binary Pattern (LBP)-like patterns on a triangular mesh manifold. This framework, dubbed mesh-LBP can be adapted to all the LBP variants employed in 2D image analysis. As such, it allows extending the related techniques to mesh surfaces. First, we describe the foundations, the construction and the features of the mesh-LBP...
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