Face hallucination with pose variation

Authors:
Yang Li;Xueyin Lin
Affiliations:
Department of Computer Science and Technology, Tsinghua University, Beijing, P. R. China;Department of Computer Science and Technology, Tsinghua University, Beijing, P. R. China
Venue:
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Year:
2004

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Abstract

Face hallucination is to synthesize a high-resolution facial image from a low-resolution input. In this paper, we present a framework for face hallucination with pose variation. We derive a texture model consisting of a set of linear mappings between the Gabor wavelet features of the facial images of every two possible poses. Given a low-resolution facial image, its pose is first estimated using a SVM classifier. Then the Gabor wavelet feature corresponding to the frontal face is computed by our texture model and the low-resolution frontal facial image is reconstructed from its Gabor wavelet feature by a novel algorithm we propose. Finally the high-resolution face can be hallucinated by one of the hallucination approaches for frontal faces. Our framework is demonstrated by extensive experiments with high-quality hallucinated results.