Patents by Inventor Senthil Radhakrishnan

Senthil Radhakrishnan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for generating computer ready animation models of a human head from captured data images
    Patent number: 10559111
    Abstract: System and methods for computer animations of 3D models of heads generated from images of faces is disclosed. A 2D captured image that includes an image of a face can be received and used to generate a static 3D model of a head. A rig can be fit to the static 3D model to generate an animation-ready 3D generative model. Sets of rigs can be parameters that each map to particular sounds or particular facial movement observed in a video. These mappings can be used to generate a playlists of sets of rig parameters based upon received audio or video content. The playlist may be played in synchronization with an audio rendition of the audio content. Methods can receive a captured image, identify taxonomy attributes from the captured image, select a template model for the captured image, and perform a shape solve for the selected template model based on the identified taxonomy attributes.
    Type: Grant
    Filed: December 14, 2018
    Date of Patent: February 11, 2020
    Assignee: LoomAi, Inc.
    Inventors: Ian Sachs, Kiran Bhat, Dominic Monn, Senthil Radhakrishnan, Will Welch
  • Systems and Methods for Generating Computer Ready Animation Models of a Human Head from Captured Data Images
    Publication number: 20190122411
    Abstract: System and methods for computer animations of 3D models of heads generated from images of faces is disclosed. A 2D captured image that includes an image of a face can be received and used to generate a static 3D model of a head. A rig can be fit to the static 3D model to generate an animation-ready 3D generative model. Sets of rigs can be parameters that each map to particular sounds or particular facial movement observed in a video. These mappings can be used to generate a playlists of sets of rig parameters based upon received audio or video content. The playlist may be played in synchronization with an audio rendition of the audio content. Methods can receive a captured image, identify taxonomy attributes from the captured image, select a template model for the captured image, and perform a shape solve for the selected template model based on the identified taxonomy attributes.
    Type: Application
    Filed: December 14, 2018
    Publication date: April 25, 2019
    Applicant: LoomAi, Inc.
    Inventors: Ian Sachs, Kiran Bhat, Dominic Monn, Senthil Radhakrishnan, Will Welch
  • Methods for preventing induced synthesis of proteasomes in human cells
    Patent number: 9493833
    Abstract: Methods and compositions for inhibiting Nrf1 activity are provided for enhancing apoptosis in mammalian cells. Apoptosis is enhanced in mammalian cells by co-inhibiting Nrf1 activity and proteasome activity. Methods for identifying Nrf1 inhibitors are provided using an assay for screening Nrf1 inhibitors that enhance proteasome inhibition by preventing induced proteasome expression.
    Type: Grant
    Filed: November 8, 2010
    Date of Patent: November 15, 2016
    Assignees: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA, CALIFORNIA INSTITUTE OF TECHNOLOGY
    Inventors: Raymond J. Deshaies, Senthil Radhakrishnan, Candy S. Lee, Jefferson Y. Chan