On two small facial palsy datasets, the pre-trained deep learning Face Alignment Network (FAN) produced lower normalized mean error for facial landmark localization than the TSM and DRMF methods.
How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
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Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis
On two small facial palsy datasets, the pre-trained deep learning Face Alignment Network (FAN) produced lower normalized mean error for facial landmark localization than the TSM and DRMF methods.