Image regularization and retargeting system

A system for depiction of complex geometries, the system comprising:

• memory that stores instructions;
• and
• at least one processor that executes the instructions stored in memory, wherein execution of the instructions by the at least one processor:
• acquires a motion capture data sequence of a subject, the motion capture data including body position tracking data of the subject having at least one body surface;
• models the motion capture data as an animation model that includes a set of a plurality of corresponding blendshapes associated with regularization parameters, wherein the blendshapes include at least one non-linear term and at least one linear term;
• adjusts the regularization parameters based on one or more physiological factors associated with activation of neural pathways and non-physiological factors, wherein a number of the blendshapes in the set is reduced by eliminating at least one blendshape associated with an erroneous blendshape combination, wherein the regularization parameters are adjusted based on an energy function representing the activation of neural pathways that includes a threshold action potential;
• and
• generates a representation of the at least one body surface of the subject based on the reduced set of blendshapes within the animation model in accordance with the motion capture data and adjusted regularization parameters.

A non-transitory computer-readable storage medium, having embodied thereon a program executable by a processor to perform a method for depiction of complex geometries, the method comprising:

• acquiring a motion capture data sequence of a subject, the motion capture data including body position tracking data of the subject having at least one body surface;
• modeling the motion capture data as an animation model that includes a set of a plurality of corresponding blendshapes associated with regularization parameters, wherein the blendshapes include at least one non-linear term and at least one linear term;
• adjusting the regularization parameters based on one or more physiological factors associated with activation of neural pathways and non-physiological factors, wherein a number of the blendshapes in the set is reduced by eliminating at least one blendshape associated with an erroneous blendshape combination, wherein the regularization parameters are adjusted based on an energy function representing the activation of neural pathways that includes a threshold action potential;
• and
• generating a representation of the at least one body surface of the subject based on the reduced set of blendshapes within the animation model in accordance with the motion capture data and adjusted regularization parameters.