Abstract: Techniques are disclosed for creating digital faces. In some examples, an anatomical face model is generated from a data set including captured facial geometries of different individuals and associated bone geometries. A model generator segments each of the captured facial geometries into patches, compresses the segmented geometry associated with each patch to determine local deformation subspaces of the anatomical face model, and determines corresponding compressed anatomical subspaces of the anatomical face model. A sculpting application determines, based on sculpting input from a user, constraints for an optimization to determine parameter values associated with the anatomical face model. The parameter values can be used, along with the anatomical face model, to generate facial geometry that reflects the sculpting input.

Abstract: Techniques are disclosed for creating digital faces. In some examples, an anatomical face model is generated from a data set including captured facial geometries of different individuals and associated bone geometries. A model generator segments each of the captured facial geometries into patches, compresses the segmented geometry associated with each patch to determine local deformation subspaces of the anatomical face model, and determines corresponding compressed anatomical subspaces of the anatomical face model. A sculpting application determines, based on sculpting input from a user, constraints for an optimization to determine parameter values associated with the anatomical face model. The parameter values can be used, along with the anatomical face model, to generate facial geometry that reflects the sculpting input.

Abstract: There is presented a method for interactive, real-time animation of soft body dynamics, comprising the steps of: providing a 3D model of a soft body, the model comprising a set of vertices connected by edges; defining a set of physical constraints between vertices in the 3D model, the set of constraints forming a system of linear equations comprising a set of unknowns representing the positions of the vertices; applying a Brooks-Vizing node coloring algorithm in order to partition the system of linear equations into a set of partitions each including an independent subset of unknowns; for each partition, applying a Gauss-Seidel based solver in parallel in order to determine an approximation of the unknowns; and using the determined approximation of the unknowns to update the 3D model. There is also presented an animation system configured to perform the above-described method.

Abstract: There is presented a method for interactive, real-time animation of soft body dynamics, comprising the steps of: providing a 3D model of a soft body, the model comprising a set of vertices connected by edges; defining a set of physical constraints between vertices in the 3D model, the set of constraints forming a system of linear equations comprising a set of unknowns representing the positions of the vertices; applying a Brooks-Vizing node coloring algorithm in order to partition the system of linear equations into a set of partitions each including an independent subset of unknowns; for each partition, applying a Gauss-Seidel based solver in parallel in order to determine an approximation of the unknowns; and using the determined approximation of the unknowns to update the 3D model. There is also presented an animation system configured to perform the above-described method.