A Discriminative Parts Based Model Approach for Fiducial Points Free and Shape Constrained Head Pose Normalisation in the Wild
This paper proposes a method for parts-based view-invariant head pose normalisation, which works well even in difficult real-world conditions. Handling pose is a classical problem in facial analysis. Recently, parts-based models have shown promising performance for facial landmark points detection 'in the wild'. Leveraging on the success of these models, the proposed data-driven regression framework computes a constrained normalised virtual frontal head pose. The response maps of a...[Show more]
|Collections||ANU Research Publications|
|Source:||2014 IEEE Winter Conference on Applications of Computer Vision, WACV 2014|
|01_Dhall_A_Discriminative_Parts_Based_2014.pdf||5.65 MB||Adobe PDF||Request a copy|
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