Patents by Inventor Roger Marí Molas

Roger Marí Molas 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).

  • Methods for analysis of an image and a method for generating a dataset of images for training a machine-learned model
    Patent number: 11928840
    Abstract: A method for analysis of an image comprises: receiving (402) the image to be analyzed; processing (404) the image with a machine-learned model, wherein the machine-learned model is configured to predict at least an intrinsic parameter of the image using at least a first variable of the machine-learned model, wherein the first variable defines a relation between a radial distortion of the image and a focal length of the image; and outputting (406) the intrinsic parameter of the image. Also, methods for forming a 3D reconstruction of a scenery, for training a machine-learned model for analysis of an image and for generating a dataset of images for training a machine-learned model are disclosed.
    Type: Grant
    Filed: March 13, 2020
    Date of Patent: March 12, 2024
    Assignee: Meta Platforms, Inc.
    Inventors: Yubin Kuang, Pau Gargallo Piracés, Manuel Antonio López Antequera, Roger Marí Molas, Jan Erik Solem
  • METHODS FOR ANALYSIS OF AN IMAGE AND A METHOD FOR GENERATING A DATASET OF IMAGES FOR TRAINING A MACHINE-LEARNED MODEL
    Publication number: 20220198710
    Abstract: A method for analysis of an image comprises: receiving (402) the image to be analyzed; processing (404) the image with a machine-learned model, wherein the machine-learned model is configured to predict at least an intrinsic parameter of the image using at least a first variable of the machine-learned model, wherein the first variable defines a relation between a radial distortion of the image and a focal length of the image; and outputting (406) the intrinsic parameter of the image. Also, methods for forming a 3D reconstruction of a scenery, for training a machine-learned model for analysis of an image and for generating a dataset of images for training a machine-learned model are disclosed.
    Type: Application
    Filed: March 13, 2020
    Publication date: June 23, 2022
    Inventors: Yubin Kuang, Pau Gargallo, Manuel López Antequera, Roger Marí Molas, Jan Erik Solem