Patents by Inventor David Royston Cutts

David Royston Cutts 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 SELECTIVE IMAGE COMPOSITING
    Publication number: 20230377287
    Abstract: Disclosed are techniques for generating a photorealistic image by augmenting or compositing at least a portion of a physical structure (e.g., a house) depicted in a two-dimensional (2D) image with synthetic image data. Additionally, disclosed are techniques for augmenting the depicted physical structure and applying a scene effect to the synthetic image data to create a photorealistic effect.
    Type: Application
    Filed: July 21, 2023
    Publication date: November 23, 2023
    Applicant: HOVER INC.
    Inventors: Matthew Thomas, Francisco Avila-Beltran, David Royston Cutts, William Castillo, Giridhar Murali, Brandon Scott, Jeffrey Sommers
  • Systems and methods for selective image compositing
    Patent number: 11790610
    Abstract: Disclosed are techniques for generating a photorealistic image by augmenting or compositing at least a portion of a physical structure (e.g., a house) depicted in a two-dimensional (2D) image with synthetic image data. Additionally, disclosed are techniques for augmenting the depicted physical structure using a minimum amount of three-dimensional (3D) geometric data and applying a scene effect to the synthetic image data to create a photorealistic effect.
    Type: Grant
    Filed: November 10, 2020
    Date of Patent: October 17, 2023
    Assignee: Hover Inc.
    Inventors: Matthew Thomas, Francisco Avila-Beltran, David Royston Cutts, William Castillo, Giridhar Murali, Brandon Scott, Jeffrey Sommers
  • TECHNIQUES FOR ENHANCED IMAGE CAPTURE USING A COMPUTER-VISION NETWORK
    Publication number: 20210243362
    Abstract: Disclosed are techniques for enhancing two-dimensional (2D) image capture of subjects (e.g., a physical structure, such as a residential building) to maximize the feature correspondences available for three-dimensional (3D) model reconstruction. More specifically, disclosed is a computer-vision network configured to provide viewfinder interfaces and analyses to guide the improved capture of an intended subject for specified purposes. Additionally, the computer-vision network can be configured to generate a metric representing a quality of feature correspondences between images of a complete set of images used for reconstructing a 3D model of a physical structure. The computer-vision network can also be configured to generate feedback at or before image capture time to guide improvements to the quality of feature correspondences between a pair of images.
    Type: Application
    Filed: January 29, 2021
    Publication date: August 5, 2021
    Applicant: Hover Inc.
    Inventors: William Castillo, Brandon Scott, Alrik Firl, David Royston Cutts, Jonathan Mark Igner, Dario Rethage, Domenico Curro
  • SYSTEMS AND METHODS FOR SELECTIVE IMAGE COMPOSITING
    Publication number: 20210142577
    Abstract: Disclosed are techniques for generating a photorealistic image by augmenting or compositing at least a portion of a physical structure (e.g., a house) depicted in a two-dimensional (2D) image with synthetic image data. Additionally, disclosed are techniques for augmenting the depicted physical structure using a minimum amount of three-dimensional (3D) geometric data and applying a scene effect to the synthetic image data to create a photorealistic effect.
    Type: Application
    Filed: November 10, 2020
    Publication date: May 13, 2021
    Applicant: HOVER INC.
    Inventors: Matthew Thomas, Francisco Avila-Beltran, David Royston Cutts, William Castillo, Giridhar Murali, Brandon Scott, Jeffrey Sommers