Patents by Inventor Oleksii Nedashkivskyi

Oleksii Nedashkivskyi 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).

  • Method and System of Person Identification by Facial Image
    Publication number: 20130170759
    Abstract: A method to recognize a facial image is described. An input facial image is normalized by scaling and rotation angle using methods of eye pupil centers detection. The input facial image is further normalized by lighting intensity. Template images are obtained either by the processing of certain images taken from different face positions, or by a preliminary reconstruction of a 3D face model based on stereo-pair images. Using the 3D model template, facial images are generated at different rotation angles. Distances between the input facial image and the template image are calculated from the Discrete Cosine Transformation (DCT) features, defined by overlapped blocks of these images. The facial image is recognized based on these distances.
    Type: Application
    Filed: April 30, 2012
    Publication date: July 4, 2013
    Applicant: VIEWDLE INC.
    Inventors: Volodymyr Kyyko, Vyacheslav Matsello, Andriy Tsariov, Yuriy Musatenko, Mykhailo Schlesinger, Kostiantyn Kyiko, Oleksii Nedashkivskyi
  • Method and system of person identification by facial image
    Patent number: 8184914
    Abstract: A method to recognize a facial image is described. An input facial image is normalized by scaling and rotation angle using methods of eye pupil centers detection. The input facial image is further normalized by lighting intensity. Template images are obtained either by the processing of certain images taken from different face positions, or by a preliminary reconstruction of a 3D face model based on stereo-pair images. Using the 3D model template, facial images are generated at different rotation angles. Distances between the input facial image and the template image are calculated from the Discrete Cosine Transformation (DCT) features, defined by overlapped blocks of these images. The facial image is recognized based on these distances.
    Type: Grant
    Filed: October 10, 2011
    Date of Patent: May 22, 2012
    Assignee: Viewdle Inc.
    Inventors: Volodymyr Kyyko, Vyacheslav Matsello, Andriy Tsariov, Yuriy Musatenko, Mykhailo Schlesinger, Kostiantyn Kyiko, Oleksii Nedashkivskyi
  • Method and System of Person Identification by Facial Image
    Publication number: 20120027270
    Abstract: A method to recognize a facial image is described. An input facial image is normalized by scaling and rotation angle using methods of eye pupil centers detection. The input facial image is further normalized by lighting intensity. Template images are obtained either by the processing of certain images taken from different face positions, or by a preliminary reconstruction of a 3D face model based on stereo-pair images. Using the 3D model template, facial images are generated at different rotation angles. Distances between the input facial image and the template image are calculated from the Discrete Cosine Transformation (DCT) features, defined by overlapped blocks of these images. The facial image is recognized based on these distances.
    Type: Application
    Filed: October 10, 2011
    Publication date: February 2, 2012
    Applicant: Viewdle Inc.
    Inventors: Volodymyr Kyyko, Vyacheslav Matsello, Andriy Tsariov, Yuriy Musatenko, Mykhailo Schlesinger, Kostiantyn Kyiko, Oleksii Nedashkivskyi
  • Method and system of person identification by facial image
    Patent number: 8064653
    Abstract: A method to recognize a facial image is described. An input facial image is normalized by scaling and rotation angle using methods of eye pupil centers detection. The input facial image is further normalized by lighting intensity. Template images are obtained either by the processing of certain images taken from different face positions, or by a preliminary reconstruction of a 3D face model based on stereo-pair images. Using the 3D model template, facial images are generated at different rotation angles. Distances between the input facial image and the template image are calculated from the Discrete Cosine Transformation (DCT) features, defined by overlapped blocks of these images. The facial image is recognized based on these distances.
    Type: Grant
    Filed: November 29, 2007
    Date of Patent: November 22, 2011
    Assignee: Viewdle, Inc.
    Inventors: Volodymyr Kyyko, Vyacheslav Matsello, Andriy Tsariov, Yuriy Musatenko, Mykhailo Schlezinger, Kostiantyn Kyiko, Oleksii Nedashkivskyi
  • METHOD AND SYSTEM OF PERSON IDENTIFICATION BY FACIAL IMAGE
    Publication number: 20090141947
    Abstract: A method to recognize a facial image is described. An input facial image is normalized by scaling and rotation angle using methods of eye pupil centers detection. The input facial image is further normalized by lighting intensity. Template images are obtained either by the processing of certain images taken from different face positions, or by a preliminary reconstruction of a 3D face model based on stereo-pair images. Using the 3D model template, facial images are generated at different rotation angles. Distances between the input facial image and the template image are calculated from the Discrete Cosine Transformation (DCT) features, defined by overlapped blocks of these images. The facial image is recognized based on these distances.
    Type: Application
    Filed: November 29, 2007
    Publication date: June 4, 2009
    Inventors: Volodymyr Kyyko, Vyacheslav Matsello, Andriy Tsariov, Yuriy Musatenko, Mykhailo Schlezinger, Kostiantyn Kyiko, Oleksii Nedashkivskyi