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  4. Towards robust cascaded regression for face alignment in the wild
 
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2015
Conference Paper
Title

Towards robust cascaded regression for face alignment in the wild

Abstract
Most state-of-the-art solutions for localizing facial feature landmarks build on the recent success of the cascaded regression framework [7, 15, 34], which progressively predicts the shape update based on the previous shape estimate and its feature calculation.
Author(s)
Qu, C.
Gao, H.
Monari, Eduardo
Beyerer, Jürgen  
Thiran, J.-P.
Mainwork
28th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2015. Proceedings  
Conference
Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2015  
Open Access
File(s)
Download (9.38 MB)
Rights
Use according to copyright law
DOI
10.1109/CVPRW.2015.7301348
10.24406/publica-r-389560
Additional link
Full text
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
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