Patents by Inventor Gwen Littlewort-Ford

Gwen Littlewort-Ford 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: 9530048
    Abstract: An automatic facial action coding system and method can include processing an image to identify a face in the image, to detect and align one or more facial features shown in the image, and to define one or more windows on the image. One or more distributions of pixels and color intensities can be quantified in each of the one or more windows to derive one or more two-dimensional intensity distributions of one or more colors within the window. The one or more two-dimensional intensity distributions can be processed to select image features appearing in the one or more windows and to classify one or more predefined facial actions on the face in the image. A facial action code score that includes a value indicating a relative amount of the predefined facial action occurring in the face in the image can be determined for the face in the image for each of the one or more predefined facial actions.
    Type: Grant
    Filed: June 23, 2014
    Date of Patent: December 27, 2016
    Assignees: The Regents Of The University Of California, The Research Foundation of State University of New York
    Inventors: Marian Stewart Bartlett, Gwen Littlewort-Ford, Javier Movellan, Ian Fasel, Mark Frank
  • Publication number: 20140301636
    Abstract: An automatic facial action coding system and method can include processing an image to identify a face in the image, to detect and align one or more facial features shown in the image, and to define one or more windows on the image. One or more distributions of pixels and color intensities can be quantified in each of the one or more windows to derive one or more two-dimensional intensity distributions of one or more colors within the window. The one or more two-dimensional intensity distributions can be processed to select image features appearing in the one or more windows and to classify one or more predefined facial actions on the face in the image. A facial action code score that includes a value indicating a relative amount of the predefined facial action occurring in the face in the image can be determined for the face in the image for each of the one or more predefined facial actions.
    Type: Application
    Filed: June 23, 2014
    Publication date: October 9, 2014
    Inventors: Marian Stewart Bartlett, Gwen Littlewort-Ford, Javier Movellan, Ian Fasel, Mark Frank
  • Patent number: 8798374
    Abstract: An automatic facial action coding system and method can include processing an image to identify a face in the image, to detect and align one or more facial features shown in the image, and to define one or more windows on the image. One or more distributions of pixels and color intensities can be quantified in each of the one or more windows to derive one or more two-dimensional intensity distributions of one or more colors within the window. The one or more two-dimensional intensity distributions can be processed to select image features appearing in the one or more windows and to classify one or more predefined facial actions on the face in the image. A facial action code score that includes a value indicating a relative amount of the predefined facial action occurring in the face in the image can be determined for the face in the image for each of the one or more predefined facial actions.
    Type: Grant
    Filed: August 26, 2009
    Date of Patent: August 5, 2014
    Assignees: The Regents of the University of California, The Research Foundation of State University of New York
    Inventors: Marian Stewart Bartlett, Gwen Littlewort-Ford, Javier Movellan, Ian Fasel, Mark Frank
  • Publication number: 20100086215
    Abstract: An automatic facial action coding system and method can include processing an image to identify a face in the image, to detect and align one or more facial features shown in the image, and to define one or more windows on the image. One or more distributions of pixels and color intensities can be quantified in each of the one or more windows to derive one or more two-dimensional intensity distributions of one or more colors within the window. The one or more two-dimensional intensity distributions can be processed to select image features appearing in the one or more windows and to classify one or more predefined facial actions on the face in the image. A facial action code score that includes a value indicating a relative amount of the predefined facial action occurring in the face in the image can be determined for the face in the image for each of the one or more predefined facial actions.
    Type: Application
    Filed: August 26, 2009
    Publication date: April 8, 2010
    Inventors: Marian Steward Bartlett, Gwen Littlewort-Ford, Javier Movellan, Ian Fasel, Mark Frank