Generalized Face Super-Resolution
Kui Jia ; Shaogang Gong
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
2008
卷号17期号:6页码:873-886
英文摘要Existing learning-based face super-resolution (hallucination) techniques generate high-resolution images of a single facial modality (i.e., at a fixed expression, pose and illumination) given one or set of low-resolution face images as probe. Here, we present a generalized approach based on a hierarchical tensor (multilinear) space representation for hallucinating high-resolution face images across multiple modalities, achieving generalization to variations in expression and pose. In particular, we formulate a unified tensor which can be reduced to two parts: a global image-based tensor for modeling the mappings among different facial modalities, and a local patch-based multiresolution tensor for incorporating high-resolution image details. For realistic hallucination of unregistered low-resolution faces contained in raw images, we develop an automatic face alignment algorithm capable of pixel-wise alignment by iteratively warping the probing face to its projection in the space of training face images. Our experiments show not only performance superiority over existing benchmark face super-resolution techniques on single modal face hallucination, but also novelty of our approach in coping with multimodal hallucination and its robustness in automatic alignment under practical imaging conditions.
收录类别SCI
原文出处http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4497872&tag=1
语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/2163]  
专题深圳先进技术研究院_集成所
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GB/T 7714
Kui Jia,Shaogang Gong. Generalized Face Super-Resolution[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2008,17(6):873-886.
APA Kui Jia,&Shaogang Gong.(2008).Generalized Face Super-Resolution.IEEE TRANSACTIONS ON IMAGE PROCESSING,17(6),873-886.
MLA Kui Jia,et al."Generalized Face Super-Resolution".IEEE TRANSACTIONS ON IMAGE PROCESSING 17.6(2008):873-886.
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