Abstract
Due to the numerous important applications of face images, such as long-distance video surveillance and identity verification, face hallucination has been an active research topic in the last decade. This paper makes a survey of approaches to high quality face hallucination by looking at theoretical backgrounds and practical results. The strengths and weaknesses of these approaches are identified to form a base for a new sparsity-based method for super-resolving mis-aligned face images.
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Liang, Y., Lai, JH., Zheng, WS., Cai, Z. (2012). A Survey of Face Hallucination. In: Zheng, WS., Sun, Z., Wang, Y., Chen, X., Yuen, P.C., Lai, J. (eds) Biometric Recognition. CCBR 2012. Lecture Notes in Computer Science, vol 7701. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35136-5_11
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DOI: https://doi.org/10.1007/978-3-642-35136-5_11
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