Patents by Inventor Nicholas T. Heckman

Nicholas T. Heckman 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).

  • Facilitating face detection with user input
    Patent number: 9111130
    Abstract: One or more techniques and/or systems are disclosed for improving face detection in an image. A user may select a first eye location while viewing the image (e.g., per red-eye reduction) and a first indication of user input, comprising the location selected by the user, can be received. The first eye location in the image can then be used to determine a face location in the image (and a second user indicated eye location can be used as well). The location of the face can be identified in the image, and the image with the identified face location can be provided to a face detection and/or recognition operation, for example.
    Type: Grant
    Filed: July 8, 2011
    Date of Patent: August 18, 2015
    Assignee: Microsoft Technology Licensing, LLC
    Inventor: Nicholas T. Heckman
  • FACILITATING FACE DETECTION WITH USER INPUT
    Publication number: 20130011024
    Abstract: One or more techniques and/or systems are disclosed for improving face detection in an image. A user may select a first eye location while viewing the image (e.g., per red-eye reduction) and a first indication of user input, comprising the location selected by the user, can be received. The first eye location in the image can then be used to determine a face location in the image (and a second user indicated eye location can be used as well). The location of the face can be identified in the image, and the image with the identified face location can be provided to a face detection and/or recognition operation, for example.
    Type: Application
    Filed: July 8, 2011
    Publication date: January 10, 2013
    Applicant: Microsoft Corporation
    Inventor: Nicholas T. Heckman