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3D Constrained Local Model for rigid and non-rigid facial tracking

6 years 5 months ago
3D Constrained Local Model for rigid and non-rigid facial tracking
We present 3D Constrained Local Model (CLM-Z) for robust facial feature tracking under varying pose. Our approach integrates both depth and intensity information in a common framework. We show the benefit of our CLMZ method in both accuracy and convergence rates over regular CLM formulation through experiments on publicly available datasets. Additionally, we demonstrate a way to combine a rigid head pose tracker with CLM-Z that benefits rigid head tracking. We show better performance than the current state-of-the-art approaches in head pose tracking with our extension of the generalised adaptive view-based appearance model (GAVAM).
Tadas Baltrusaitis, Peter Robinson, Louis-Philippe
Added 28 Sep 2012
Updated 28 Sep 2012
Type Journal
Year 2012
Where CVPR
Authors Tadas Baltrusaitis, Peter Robinson, Louis-Philippe Morency
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