Learning Based Automatic Face Annotation for Arbitrary Poses and Expressions from Frontal Images Only
Statistical approaches for building non-rigid deformable models, such as the Active Appearance Model (AAM), have enjoyed great popularity in recent years, but typically require tedious manual annotation of training images. In this paper, a learning based
|Collections||ANU Research Publications|
|Source:||Proceeings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009)|
|01_Asthana_Learning_Based_Automatic_Face_2009.pdf||901.06 kB||Adobe PDF||Request a copy|
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