Face Alignment at 3000 FPS via Regressing Local Binary Features
CVPR, pp. 1685-1692, 2014.
This paper presents a highly efficient, very accurate regression approach for face alignment. Our approach has two novel components: a set of local binary features, and a locality principle for learning those features. The locality principle guides us to learn a set of highly discriminative local binary features for each facial landmark i...More
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