Patents Assigned to DIGITALFISH, INC.
  • Patent number: 10546405
    Abstract: The disclosed implementations describe techniques and workflows for a computer graphics (CG) animation system. In some implementations, systems and methods are disclosed for representing scene composition and performing underlying computations within a unified generalized expression graph with cycles. Disclosed are natural mechanisms for level-of-detail control, adaptive caching, minimal re-compute, lazy evaluation, predictive computation and progressive refinement. The disclosed implementations provide real-time guarantees for minimum graphics frame rates and support automatic tradeoffs between rendering quality, accuracy and speed. The disclosed implementations also support new workflow paradigms, including layered animation and motion-path manipulation of articulated bodies.
    Type: Grant
    Filed: September 25, 2017
    Date of Patent: January 28, 2020
    Assignee: DigitalFish, Inc.
    Inventors: Daniel Lawrence Herman, Mark J. Oftedal
  • Patent number: 9805491
    Abstract: The disclosed implementations describe techniques and workflows for a computer graphics (CG) animation system. In some implementations, systems and methods are disclosed for representing scene composition and performing underlying computations within a unified generalized expression graph with cycles. Disclosed are natural mechanisms for level-of-detail control, adaptive caching, minimal re-compute, lazy evaluation, predictive computation and progressive refinement. The disclosed implementations provide real-time guarantees for minimum graphics frame rates and support automatic tradeoffs between rendering quality, accuracy and speed. The disclosed implementations also support new workflow paradigms, including layered animation and motion-path manipulation of articulated bodies.
    Type: Grant
    Filed: November 16, 2015
    Date of Patent: October 31, 2017
    Assignee: DIGITALFISH, INC.
    Inventors: Daniel Lawrence Herman, Mark J. Oftedal
  • Patent number: 9216351
    Abstract: The disclosed implementations describe techniques and workflows for a computer graphics (CG) animation system. In some implementations, systems and methods are disclosed for representing scene composition and performing underlying computations within a unified generalized expression graph with cycles. Disclosed are natural mechanisms for level-of-detail control, adaptive caching, minimal re-compute, lazy evaluation, predictive computation and progressive refinement. The disclosed implementations provide real-time guarantees for minimum graphics frame rates and support automatic tradeoffs between rendering quality, accuracy and speed. The disclosed implementations also support new workflow paradigms, including layered animation and motion-path manipulation of articulated bodies.
    Type: Grant
    Filed: June 29, 2009
    Date of Patent: December 22, 2015
    Assignee: DIGITALFISH, INC.
    Inventors: Daniel Lawrence Herman, Mark J. Oftedal
  • Publication number: 20100214313
    Abstract: The disclosed implementations describe techniques and workflows for a computer graphics (CG) animation system. In some implementations, systems and methods are disclosed for representing scene composition and performing underlying computations within a unified generalized expression graph with cycles. Disclosed are natural mechanisms for level-of-detail control, adaptive caching, minimal re-compute, lazy evaluation, predictive computation and progressive refinement. The disclosed implementations provide real-time guarantees for minimum graphics frame rates and support automatic tradeoffs between rendering quality, accuracy and speed. The disclosed implementations also support new workflow paradigms, including layered animation and motion-path manipulation of articulated bodies.
    Type: Application
    Filed: June 29, 2009
    Publication date: August 26, 2010
    Applicant: DIGITALFISH, INC.
    Inventors: Daniel Lawrence Herman, Mark J. Oftedal