IEEE - Institute of Electrical and Electronics Engineers, Inc. - Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Author(s): George Trigeorgis ; Patrick Snape ; Mihalis A. Nicolaou ; Epameinondas Antonakos ; Stefanos Zafeiriou
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 June 2016
Conference Location: Las Vegas, NV, USA
Conference Date: 27 June 2016
Page(s): 4,177 - 4,187
ISBN (Electronic): 978-1-4673-8851-1
ISSN (Electronic): 1063-6919
DOI: 10.1109/CVPR.2016.453
Regular:

Cascaded regression has recently become the method of choice for solving non-linear least squares problems such as deformable image alignment. Given a sizeable training set, cascaded regression... View More

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