US 11,893,671 B2
Image regularization and retargeting system
Mark Andrew Sagar, Auckland (NZ); Tim Szu-Hsien Wu, Auckland Central (NZ); Frank Filipe Bonniwell, San Marcos, CA (US); Homoud B. Alkouh, San Diego, CA (US); and Colin Joseph Hodges, San Diego, CA (US)
Assigned to SONY INTERACTIVE ENTERTAINMENT LLC, San Mateo, CA (US)
Filed by Sony Interactive Entertainment LLC, San Mateo, CA (US)
Filed on Sep. 22, 2020, as Appl. No. 17/028,865.
Application 17/028,865 is a continuation of application No. 15/913,825, filed on Mar. 6, 2018, granted, now 10,783,690.
Application 15/913,825 is a continuation of application No. PCT/US2016/050575, filed on Sep. 7, 2016.
Claims priority of application No. 711968 (NZ), filed on Sep. 7, 2015.
Prior Publication US 2022/0092837 A1, Mar. 24, 2022
Int. Cl. G06T 13/40 (2011.01); G06T 7/246 (2017.01); G06V 10/98 (2022.01); G06V 20/40 (2022.01)
CPC G06T 13/40 (2013.01) [G06T 7/251 (2017.01); G06V 10/98 (2022.01); G06V 20/40 (2022.01); G06T 2207/10016 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A computer-implemented 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.