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Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade
2013
2013 IEEE International Conference on Computer Vision Workshops
We present a new approach to localize extensive facial landmarks with a coarse-to-fine convolutional network cascade. Deep convolutional neural networks (DCNN) have been successfully utilized in facial landmark localization for two-fold advantages: 1) geometric constraints among facial points are implicitly utilized; 2) huge amount of training data can be leveraged. However, in the task of extensive facial landmark localization, a large number of facial landmarks (more than 50 points) are
doi:10.1109/iccvw.2013.58
dblp:conf/iccvw/ZhouFCJY13
fatcat:hbcqsxeqyrd6fg2pcomccydyo4