Patents by Inventor Peter Christopher Lincoln

Peter Christopher Lincoln 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).

  • Patent number: 12066282
    Abstract: A lighting stage includes a plurality of lights that project alternating spherical color gradient illumination patterns onto an object or human performer at a predetermined frequency. The lighting stage also includes a plurality of cameras that capture images of an object or human performer corresponding to the alternating spherical color gradient illumination patterns. The lighting stage also includes a plurality of depth sensors that capture depth maps of the object or human performer at the predetermined frequency. The lighting stage also includes (or is associated with) one or more processors that implement a machine learning algorithm to produce a three-dimensional (3D) model of the object or human performer. The 3D model includes relighting parameters used to relight the 3D model under different lighting conditions.
    Type: Grant
    Filed: November 11, 2020
    Date of Patent: August 20, 2024
    Assignee: GOOGLE LLC
    Inventors: Sean Ryan Francesco Fanello, Kaiwen Guo, Peter Christopher Lincoln, Philip Lindsley Davidson, Jessica L. Busch, Xueming Yu, Geoffrey Harvey, Sergio Orts Escolano, Rohit Kumar Pandey, Jason Dourgarian, Danhang Tang, Adarsh Prakash Murthy Kowdle, Emily B. Cooper, Mingsong Dou, Graham Fyffe, Christoph Rhemann, Jonathan James Taylor, Shahram Izadi, Paul Ernest Debevec
  • Publication number: 20220065620
    Abstract: A lighting stage includes a plurality of lights that project alternating spherical color gradient illumination patterns onto an object or human performer at a predetermined frequency. The lighting stage also includes a plurality of cameras that capture images of an object or human performer corresponding to the alternating spherical color gradient illumination patterns. The lighting stage also includes a plurality of depth sensors that capture depth maps of the object or human performer at the predetermined frequency. The lighting stage also includes (or is associated with) one or more processors that implement a machine learning algorithm to produce a three-dimensional (3D) model of the object or human performer. The 3D model includes relighting parameters used to relight the 3D model under different lighting conditions.
    Type: Application
    Filed: November 11, 2020
    Publication date: March 3, 2022
    Inventors: Sean Ryan Francesco Fanello, Kaiwen Guo, Peter Christopher Lincoln, Philip Lindsley Davidson, Jessica L. Busch, Xueming Yu, Geoffrey Harvey, Sergio Orts Escolano, Rohit Kumar Pandey, Jason Dourgarian, Danhang Tang, Adarsh Prakash Murthy Kowdle, Emily B. Cooper, Mingsong Dou, Graham Fyffe, Christoph Rhemann, Jonathan James Taylor, Shahram Izadi, Paul Ernest Debevec
  • Patent number: 10997457
    Abstract: Methods, systems, and media for relighting images using predicted deep reflectance fields are provided.
    Type: Grant
    Filed: October 16, 2019
    Date of Patent: May 4, 2021
    Assignee: Google LLC
    Inventors: Christoph Rhemann, Abhimitra Meka, Matthew Whalen, Jessica Lynn Busch, Sofien Bouaziz, Geoffrey Douglas Harvey, Andrea Tagliasacchi, Jonathan Taylor, Paul Debevec, Peter Joseph Denny, Sean Ryan Francesco Fanello, Graham Fyffe, Jason Angelo Dourgarian, Xueming Yu, Adarsh Prakash Murthy Kowdle, Julien Pascal Christophe Valentin, Peter Christopher Lincoln, Rohit Kumar Pandey, Christian Häne, Shahram Izadi
  • Publication number: 20200372284
    Abstract: Methods, systems, and media for relighting images using predicted deep reflectance fields are provided.
    Type: Application
    Filed: October 16, 2019
    Publication date: November 26, 2020
    Inventors: Christoph Rhemann, Abhimitra Meka, Matthew Whalen, Jessica Lynn Busch, Sofien Bouaziz, Geoffrey Douglas Harvey, Andrea Tagliasacchi, Jonathan Taylor, Paul Debevec, Peter Joseph Denny, Sean Ryan Francesco Fanello, Graham Fyffe, Jason Angelo Dourgarian, Xueming Yu, Adarsh Prakash Murthy Kowdle, Julien Pascal Christophe Valentin, Peter Christopher Lincoln, Rohit Kumar Pandey, Christian Häne, Shahram Izadi