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Image set based face recognition provides more opportunities compared to single mug-shot face recognition. However, modelling the variations in an image set is a challenging task. We propose a computationally efficient and accurate image set modelling technique. The idea is to reconstruct each image set sample with an unlabeled dictionary using the computationally efficient regularized least squares...
We present an algorithm for 3D face reconstruction from multiple images under arbitrary illumination. A computer screen is used to illuminate a face from different angles. Three images under different illuminations are used to compute its basis vectors using SVD. The first basis vectors from training faces are projected to a PCA subspace and used as input patterns to train multiple Support Vector...
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