Learning Deep Representation for Face Alignment with Auxiliary Attributes

IEEE Transactions Pattern Analysis and Machine Intelligence, Volume 38, Issue 5, 2014.

Cited by: 304|Bibtex|Views103|DOI:https://doi.org/10.1109/TPAMI.2015.2469286
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Other Links: academic.microsoft.com|pubmed.ncbi.nlm.nih.gov|dblp.uni-trier.de|arxiv.org

Abstract:

In this study, we show that landmark detection or face alignment task is not a single and independent problem. Instead, its robustness can be greatly improved with auxiliary information. Specifically, we jointly optimize landmark detection together with the recognition of heterogeneous but subtly correlated facial attributes, such as gend...More

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