Figure 1: We build a local anatomical model from a corpus of 3D face scans (left) and create a novel anatomically-driven digital face sculpting system where novice users can efficiently create realistic 3D face identities (right).
Figure 1: We propose a new method for solving nonlinear least squares problems that is highly parallel and scalable, allowing large-scale semi-sparse optimization on graphics hardware. Here we apply our solver to the problem of model-based facial capture, and compare to a standard Ceres solver implementation.
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