Patents by Inventor Cuixian Chen

Cuixian Chen 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).

  • Demographic analysis of facial landmarks
    Patent number: 9317740
    Abstract: A set of training vectors may be identified. Each training vector may be mapped to either a male gender or a female gender, and each training vector may represent facial landmarks derived from a respective facial image. An input vector of facial landmarks may also be identified. The facial landmarks of the input vector may be derived from a particular facial image. A feature vector may containing a subset of the facial landmarks may be selected from the input vector. A weighted comparison may be performed between the feature vector and each of the training vectors. Based on a result of the weighted comparison, the particular facial image may be classified as either the male gender or the female gender.
    Type: Grant
    Filed: December 4, 2014
    Date of Patent: April 19, 2016
    Assignee: University of North Carolina at Wilmington
    Inventors: Karl Ricanek, Jr., Yishi Wang, Yaw Chang, Cuixian Chen
  • Demographic Analysis of Facial Landmarks
    Publication number: 20150086087
    Abstract: A set of training vectors may be identified. Each training vector may be mapped to either a male gender or a female gender, and each training vector may represent facial landmarks derived from a respective facial image. An input vector of facial landmarks may also be identified. The facial landmarks of the input vector may be derived from a particular facial image. A feature vector may containing a subset of the facial landmarks may be selected from the input vector. A weighted comparison may be performed between the feature vector and each of the training vectors. Based on a result of the weighted comparison, the particular facial image may be classified as either the male gender or the female gender.
    Type: Application
    Filed: December 4, 2014
    Publication date: March 26, 2015
    Inventors: Karl Ricanek, JR., Yishi Wang, Yaw Chang, Cuixian Chen
  • Demographic analysis of facial landmarks
    Patent number: 8913839
    Abstract: A set of training vectors may be identified. Each training vector may be mapped to either a male gender or a female gender, and each training vector may represent facial landmarks derived from a respective facial image. An input vector of facial landmarks may also be identified. The facial landmarks of the input vector may be derived from a particular facial image. A feature vector may containing a subset of the facial landmarks may be selected from the input vector. A weighted comparison may be performed between the feature vector and each of the training vectors. Based on a result of the weighted comparison, the particular facial image may be classified as either the male gender or the female gender.
    Type: Grant
    Filed: September 26, 2012
    Date of Patent: December 16, 2014
    Assignee: University of North Carolina at Wilmington
    Inventors: Karl Ricanek, Jr., Yishi Wang, Yaw Chang, Cuixian Chen
  • Demographic Analysis of Facial Landmarks
    Publication number: 20130223694
    Abstract: A set of training vectors may be identified. Each training vector may be mapped to either a male gender or a female gender, and each training vector may represent facial landmarks derived from a respective facial image. An input vector of facial landmarks may also be identified. The facial landmarks of the input vector may be derived from a particular facial image. A feature vector may containing a subset of the facial landmarks may be selected from the input vector. A weighted comparison may be performed between the feature vector and each of the training vectors. Based on a result of the weighted comparison, the particular facial image may be classified as either the male gender or the female gender.
    Type: Application
    Filed: September 26, 2012
    Publication date: August 29, 2013
    Inventors: Karl Ricanek, JR., Yishi Wang, Yaw Chang, Cuixian Chen