Patents by Inventor Miguel Algaba

Miguel Algaba 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).

  • System and method for relocalization and scene recognition
    Patent number: 10803365
    Abstract: A system configured to improve the operations associated with generating virtual representations of physical environments to recognize the physical environments and/or relocalize within the virtual representations in a substantially real time system. In some cases, the system may use a first pre-training phase of descriptors and/or split nodes of regression forests using features common across various scenes to learn general image appearance, and a second training phase of descriptors and/or leaf nodes of regression forests to learn scene specific features. The system may align the features using an orientation vector, correct for camera perspective and lens distortion of the features as well as learn robust illumination invariant features from real and synthetic data.
    Type: Grant
    Filed: October 17, 2019
    Date of Patent: October 13, 2020
    Assignee: Occipital, Inc.
    Inventors: Jeffrey Roger Powers, Nicolas Burrus, Miguel Algaba
  • SYSTEM AND METHOD FOR RELOCALIZATION AND SCENE RECOGNITION
    Publication number: 20200050904
    Abstract: A system configured to improve the operations associated with generating virtual representations of physical environments to recognize the physical environments and/or relocalize within the virtual representations in a substantially real time system. In some cases, the system may use a first pre-training phase of descriptors and/or split nodes of regression forests using features common across various scenes to learn general image appearance, and a second training phase of descriptors and/or leaf nodes of regression forests to learn scene specific features. The system may align the features using an orientation vector, correct for camera perspective and lens distortion of the features as well as learn robust illumination invariant features from real and synthetic data.
    Type: Application
    Filed: October 17, 2019
    Publication date: February 13, 2020
    Inventors: Jeffrey Roger Powers, Nicolas Burrus, Miguel Algaba
  • System and method for relocalization and scene recognition
    Patent number: 10504008
    Abstract: A system configured to improve the operations associated with generating virtual representations of physical environments to recognize the physical environments and/or relocalize within the virtual representations in a substantially real time system. In some cases, the system may use a first pre-training phase of descriptors and/or split nodes of regression forests using features common across various scenes to learn general image appearance, and a second training phase of descriptors and/or leaf nodes of regression forests to learn scene specific features. The system may align the features using an orientation vector, correct for camera perspective and lens distortion of the features as well as learn robust illumination invariant features from real and synthetic data.
    Type: Grant
    Filed: July 18, 2017
    Date of Patent: December 10, 2019
    Assignee: Occipital, Inc.
    Inventors: Jeffrey Powers, Miguel Algaba, Nicolas Burrus