Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses.

ICCV, (2017): 4000-4009

Cited by: 65|Views32
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Abstract:

Facial alignment involves finding a set of landmark points on an image with a known semantic meaning. However, this semantic meaning of landmark points is often lost in 2D approaches where landmarks are either moved to visible boundaries or ignored as the pose of the face changes. In order to extract consistent alignment points across lar...More

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