Hierarchical facial landmark localization via cascaded random binary patterns

Pattern Recognition, pp. 1277-1288, 2015.

Cited by: 10|Bibtex|Views46|DOI:https://doi.org/10.1016/j.patcog.2014.09.007
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

The main challenge of facial landmark localization in real-world application is that the large changes of head pose and facial expressions cause substantial image appearance variations. To avoid high dimensional facial shape regression, we propose a hierarchical pose regression approach, estimating the head rotation, face components, and ...More

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