Unsupervised Face Alignment by Robust Nonrigid Mapping

We propose a novel approach to unsupervised facial image alignment. Differently from previous approaches, that are confined to affine transformations on either the entire face or separate patches, we extract a nonrigid mapping between facial images. Based on a regularized face model, we frame unsupe...

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Bibliographic Details
Main Authors: ZHU, Jianke, VAN GOOL, Luc, HOI, Steven C. H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2009
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Online Access:https://ink.library.smu.edu.sg/sis_research/2371
https://ink.library.smu.edu.sg/context/sis_research/article/3371/viewcontent/zhu_iccv09.pdf
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Institution: Singapore Management University
Language: English