Patents by Inventor Wyatt D. Sharp, III

Wyatt D. Sharp, III 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).

  • Image targeting via targetable 3D data
    Patent number: 11568638
    Abstract: A method can include identifying a geolocation of an object in an image, the method comprising receiving data indicating a pixel coordinate of the image selected by a user, identifying a data point in a targetable three-dimensional (3D) data set corresponding to the selected pixel coordinate, and providing a 3D location of the identified data point.
    Type: Grant
    Filed: September 14, 2020
    Date of Patent: January 31, 2023
    Assignee: Raytheon Company
    Inventors: Wyatt D. Sharp, III, Kathryn A. Welin, Jody D. Verret, Richard W. Ely, Stephen J. Raif
  • IMAGE TARGETING VIA TARGETABLE 3D DATA
    Publication number: 20210097280
    Abstract: A method can include identifying a geolocation of an object in an image, the method comprising receiving data indicating a pixel coordinate of the image selected by a user, identifying a data point in a targetable three-dimensional (3D) data set corresponding to the selected pixel coordinate, and providing a 3D location of the identified data point.
    Type: Application
    Filed: September 14, 2020
    Publication date: April 1, 2021
    Inventors: Wyatt D. Sharp, III, Kathryn A. Welin, Jody D. Verret, Richard W. Ely, Stephen J. Raif
  • Performance prediction for generation of point clouds from passive imagery
    Patent number: 9430872
    Abstract: A system and method of generating point clouds from passive images. Image clusters are formed, wherein each image cluster includes two or more passive images selected from a set of passive images. Quality of the point cloud that could be generated from each image cluster is predicted for each image cluster based on a performance prediction score for each image cluster. A subset of image clusters is selected for further processing based on their performance prediction scores. A mission-specific quality score is determined for each point cloud generated and the point cloud with the highest quality score is selected for storage.
    Type: Grant
    Filed: March 7, 2014
    Date of Patent: August 30, 2016
    Assignee: Raytheon Company
    Inventors: Stephen J. Raif, John J. Coogan, Steven B. Seida, Paul L. Pryor, Carlton E. Nance, Wyatt D. Sharp, III, Jody D. Verret
  • PERFORMANCE PREDICTION FOR GENERATION OF POINT CLOUDS FROM PASSIVE IMAGERY
    Publication number: 20140253543
    Abstract: A system and method of generating point clouds from passive images. Image clusters are formed, wherein each image cluster includes two or more passive images selected from a set of passive images. Quality of the point cloud that could be generated from each image cluster is predicted for each image cluster based on a performance prediction score for each image cluster. A subset of image clusters is selected for further processing based on their performance prediction scores. A mission-specific quality score is determined for each point cloud generated and the point cloud with the highest quality score is selected for storage.
    Type: Application
    Filed: March 7, 2014
    Publication date: September 11, 2014
    Applicant: Raytheon Company
    Inventors: Stephen J. Raif, John J. Coogan, Steven B. Seida, Paul L. Pryor, Carlton E. Nance, Wyatt D. Sharp, III, Jody D. Verret