Michael De Smet

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This paper describes an algorithm for pose and illumination invariant face recognition from a single image under occlusions. The method iteratively estimates the parameters of a 3D morphable face model to approximate the appearance of a face in an image. Simultaneously, a visibility map is computed which segments the image into visible and occluded regions.(More)
Lip synchronization is the process of generating natural lip movements from a speech signal. In this work we address the lip-sync problem using an automatic phone recognizer that generates a phone lattice carrying posterior probabilities. The acoustic feature vector contains the posterior probabilities of all the phones over a time window centered at the(More)
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