Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild

IEEE Trans. Pattern Anal. Mach. Intell., 2018.

Cited by: 57|Bibtex|Views79|DOI:https://doi.org/10.1109/TPAMI.2018.2792452
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Other Links: pubmed.ncbi.nlm.nih.gov|dblp.uni-trier.de|academic.microsoft.com

Abstract:

We propose a method designed to push the frontiers of unconstrained face recognition in the wild with an emphasis on extreme out-of-plane pose variations. Existing methods either expect a single model to learn pose invariance by training on massive amounts of data or else normalize images by aligning faces to a single frontal pose. Contra...More

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