Learning to Fit Morphable Models

Understand

Fitting parametric models of human bodies, hands or faces to sparse input signals in an accurate, robust, and fast manner has the promise of significantly improving immersion in AR and VR scenarios.

• A common first step in systems that tackle these problems is to regress the parameters of the parametric model directly from the input data.
• This approach is fast, robust, and is a good starting point for an iterative minimization algorithm.
• The latter searches for the minimum of an energy function, typically composed of a data term and priors that encode our knowledge about the problem's structure.