Discriminative Semi-coupled Dictionary Learning for Face Recognition
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Abstract
Performing 3D face recognition when only partial 3D data are present in the gallery and probe is a very challenging task. The task is even more challenging when the gallery dataset originates from one side of the face while the probe dataset originates from the other. We present a new method for computing the similarity of partial 3D data for the purpose of face recognition. This method improves upon an existing Semi-Coupled Dictionary Learning method by computing a jointly-optimized solution that incorporates the reconstruction cost, the discrimination cost and the semi-coupling cost. Our experiments show that this method can improve upon recognition performance of existing state-ofthe- art wavelet signatures used in 3D face recognition. The use of a semi-coupling term allows our method to handle partial face meshes with a possible extension to other types of signatures.