FacePoseNet: Making a Case for Landmark-Free Face Alignment

ICCV Workshops, pp. 1599-1608, 2017.

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Abstract:

We show how a simple convolutional neural network (CNN) can be trained to accurately and robustly regress 6 degrees of freedom (6DoF) 3D head pose, directly from image intensities. We further explain how this FacePoseNet (FPN) can be used to align faces in 2D and 3D as an alternative to explicit facial landmark detection for these tasks. ...More

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