Patents by Inventor Matthew D. Egan

Matthew D. Egan 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: 10769801
    Abstract: A method of predicting warps for image registration includes receiving warp data for a first band pair in an N-band system. The method includes fitting a warp model to the warp data to produce an offset profile for the first band pair, predicting a respective offset profile for at least one other band pair in the N-band system, and using the predicted respective offset profile to generate a warp for the at least one other band pair. The method also includes registering images of the at least one other band pair using the warp for the at least one other band pair. In another aspect, a method of predicting warps for image registration includes receiving warp data for m band pairs in an N-band system, wherein m?(N?1) and m>2, to register images.
    Type: Grant
    Filed: December 5, 2018
    Date of Patent: September 8, 2020
    Assignee: Goodrich Corporation
    Inventors: Suhail Shabbir Saquib, Matthew D. Egan
  • Patent number: 10360688
    Abstract: A method of predicting warps for image registration includes receiving warp data for a first band pair in an N-band system. The method includes fitting a warp model to the warp data to produce an offset profile for the first band pair, predicting a respective offset profile for at least one other band pair in the N-band system, and using the predicted respective offset profile to generate a warp for the at least one other band pair. The method also includes registering images of the at least one other band pair using the warp for the at least one other band pair. In another aspect, a method of predicting warps for image registration includes receiving warp data for m band pairs in an N-band system, wherein m?(N?1) and m>2, to register images.
    Type: Grant
    Filed: April 7, 2017
    Date of Patent: July 23, 2019
    Assignee: Goodrich Corporation
    Inventors: Suhail S. Saquib, Matthew D. Egan
  • Publication number: 20190114791
    Abstract: A method of predicting warps for image registration includes receiving warp data for a first band pair in an N-band system. The method includes fitting a warp model to the warp data to produce an offset profile for the first band pair, predicting a respective offset profile for at least one other band pair in the N-band system, and using the predicted respective offset profile to generate a warp for the at least one other band pair. The method also includes registering images of the at least one other band pair using the warp for the at least one other band pair. In another aspect, a method of predicting warps for image registration includes receiving warp data for m band pairs in an N-band system, wherein m?(N?1) and m>2, to register images.
    Type: Application
    Filed: December 5, 2018
    Publication date: April 18, 2019
    Inventors: Suhail Shabbir Saquib, Matthew D. Egan
  • Patent number: 10223331
    Abstract: A method for modeling warp for registration of images includes receiving input warp data and performing a fitting process on the input warp data to produce at least one of reduced noise warp data or reduced noise warp uncertainty. The warp for the at least one of reduced noise warp data or reduced noise warp uncertainty is modeled with components including an offset that varies in time and a non-linear distortion that does not vary with time. The method also includes outputting at the least one of reduced noise warp data or reduced noise warp uncertainty.
    Type: Grant
    Filed: April 8, 2016
    Date of Patent: March 5, 2019
    Assignee: Goodrich Corporation
    Inventors: Suhail Shabbir Saquib, Matthew D. Egan
  • Publication number: 20170294024
    Abstract: A method of predicting warps for image registration includes receiving warp data for a first band pair in an N-band system. The method includes fitting a warp model to the warp data to produce an offset profile for the first band pair, predicting a respective offset profile for at least one other band pair in the N-band system, and using the predicted respective offset profile to generate a warp for the at least one other band pair. The method also includes registering images of the at least one other band pair using the warp for the at least one other band pair. In another aspect, a method of predicting warps for image registration includes receiving warp data for m band pairs in an N-band system, wherein m?(N?1) and m>2, to register images.
    Type: Application
    Filed: April 7, 2017
    Publication date: October 12, 2017
    Inventors: Suhail S. Saquib, Matthew D. Egan
  • Publication number: 20170293590
    Abstract: A method for modeling warp for registration of images includes receiving input warp data and performing a fitting process on the input warp data to produce at least one of reduced noise warp data or reduced noise warp uncertainty. The warp for at the at least one of reduced noise warp data or reduced noise warp uncertainty is modeled with components including an offset that varies in time and a non-linear distortion that does not vary with time. The method also includes outputting at the least one of reduced noise warp data or reduced noise warp uncertainty.
    Type: Application
    Filed: April 8, 2016
    Publication date: October 12, 2017
    Inventors: Suhail Shabbir Saquib, Matthew D. Egan