Patents by Inventor Brian Gardiner

Brian Gardiner 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).

  • Compressive sensing with local geometric features
    Patent number: 9613285
    Abstract: Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.
    Type: Grant
    Filed: April 24, 2015
    Date of Patent: April 4, 2017
    Assignees: THE CHARLES STARK DRAPER LABORATORY, INC., MASSACHUSETTS INSTITUTE OF TECHNOLOGY
    Inventors: Brian Gardiner, Rishi Gupta, Yaron Rachlin, Christopher C. Yu, Piotr Indyk, Eric Price
  • COMPRESSIVE SENSING WITH LOCAL GEOMETRIC FEATURES
    Publication number: 20160203382
    Abstract: Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.
    Type: Application
    Filed: April 24, 2015
    Publication date: July 14, 2016
    Inventors: Brian Gardiner, Rishi Gupta, Yaron Rachlin, Christopher C. Yu, Piotr Indyk, Eric Price
  • Compressive sensing with local geometric features
    Patent number: 9213916
    Abstract: Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.
    Type: Grant
    Filed: March 13, 2013
    Date of Patent: December 15, 2015
    Assignees: THE CHARLES STARK DRAPER LABORATORY, INC., MASSACHUSETTS INSTITUTE OF TECHNOLOGY
    Inventors: Brian Gardiner, Rishi Gupta, Piotr Indyk, Eric Price, Yaron Rachlin, Christopher Yu
  • Compressive sensing with local geometric features
    Patent number: 8983198
    Abstract: Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.
    Type: Grant
    Filed: March 13, 2013
    Date of Patent: March 17, 2015
    Assignees: The Charles Stark Draper Laboratory, Inc., Massachusetts Institute of Technology
    Inventors: Brian Gardiner, Rishi Gupta, Piotr Indyk, Eric Price, Yaron Rachlin, Christopher Yu
  • COMPRESSIVE SENSING WITH LOCAL GEOMETRIC FEATURES
    Publication number: 20140193076
    Abstract: Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.
    Type: Application
    Filed: March 13, 2013
    Publication date: July 10, 2014
    Applicant: The Charles Strak Draper Laboratory, Inc.
    Inventors: Brian Gardiner, Rishi Gupta, Piotr Indyk, Eric Price, Yaron Rachlin, Christopher Yu
  • COMPRESSIVE SENSING WITH LOCAL GEOMETRIC FEATURES
    Publication number: 20140193031
    Abstract: Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.
    Type: Application
    Filed: March 13, 2013
    Publication date: July 10, 2014
    Applicants: MASSACHUSETTS INSTITUTE OF TECHNOLOGY, THE CHARLES STARK DRAPER LABORATORY, INC.
    Inventors: Brian Gardiner, Rishi Gupta, Piotr Indyk, Eric Price, Yaron Rachlin, Christopher Yu