Patents by Inventor Volodymyr Kyyko

Volodymyr Kyyko 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: 8971591
    Abstract: A server determines a plurality of faceprints representing a plurality of users to be recognized at a client device. Each faceprint contains a number of reference images for a given user that are used to recognize facial images of the user detecting in media captured at the client device. The faceprints delivered to the client device are determined for the client device based on the users likely to be detected in images captured at the client device. The reference images with a given faceprint delivered to the client device are selected by the server based on their recognition value in identifying the users likely to be detected in images captured at the client device.
    Type: Grant
    Filed: December 10, 2012
    Date of Patent: March 3, 2015
    Assignee: Google Technology Holdings LLC
    Inventors: Ivan Kovtun, Volodymyr Kyyko, Yuriy S. Musatenko, Michael Jason Mitura, Laurent Gil
  • 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
  • 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
  • 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
  • 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
  • Patent number: 8064641
    Abstract: A method for processing digital media is described. In one example embodiment, the method may include detecting an unknown object in a video frame, receiving inputs representing probable identities of the unknown object in the video frame from various sources, and associating each input with the unknown object detected in the video frame. The received inputs may be processed, compared with reference data and, based on the comparison, probable identities of the object associated with the input derived. The method may further include retrieving a likelihood of the input to match the unknown object from historical data and producing weights corresponding to the inputs, fusing the inputs and the relative weight associated with each input, and identifying the unknown object based on a comparison of the weighted distances from the unknown identify to a reference identity.
    Type: Grant
    Filed: December 3, 2007
    Date of Patent: November 22, 2011
    Assignee: Viewdle Inc.
    Inventors: Yegor Anchyshkin, Yuriy Musatenko, Kostyantyn Milshteyn, Volodymyr Kyyko, Ivan Kovtun, Vyacheslav Matsello, Mykhailo Schlesinger
  • 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
  • Publication number: 20090116695
    Abstract: A method for processing digital media is described. In one example embodiment, the method may include detecting an unknown object in a video frame, receiving inputs representing probable identities of the unknown object in the video frame from various sources, and associating each input with the unknown object detected in the video frame. The received inputs may be processed, compared with reference data and, based on the comparison, probable identities of the object associated with the input derived. The method may further include retrieving a likelihood of the input to match the unknown object from historical data and producing weights corresponding to the inputs, fusing the inputs and the relative weight associated with each input, and identifying the unknown object based on a comparison of the weighted distances from the unknown identify to a reference identity.
    Type: Application
    Filed: December 3, 2007
    Publication date: May 7, 2009
    Inventors: Yegor Anchyshkin, Yuriy Musatenko, Kostyantyn Milshteyn, Volodymyr Kyyko, Ivan Kovtun, Vyacheslav Matsello, Mykhailo Schlezinger