Patents by Inventor Gregory Begelman

Gregory Begelman 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: 10176200
    Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.
    Type: Grant
    Filed: October 26, 2017
    Date of Patent: January 8, 2019
    Assignee: PicScout (Israel) LTD.
    Inventors: Uri Lavi, Eli Goz, Gregory Begelman
  • Publication number: 20180046650
    Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.
    Type: Application
    Filed: October 26, 2017
    Publication date: February 15, 2018
    Inventors: Uri Lavi, Eli Goz, Gregory Begelman
  • Publication number: 20160253359
    Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.
    Type: Application
    Filed: February 29, 2016
    Publication date: September 1, 2016
    Inventors: Uri Lavi, Eli Goz, Gregory Begelman
  • Patent number: 9275311
    Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.
    Type: Grant
    Filed: November 11, 2014
    Date of Patent: March 1, 2016
    Assignee: PicScout (Israel) LTD.
    Inventors: Uri Lavi, Eli Goz, Gregory Begelman
  • Publication number: 20150071552
    Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.
    Type: Application
    Filed: November 11, 2014
    Publication date: March 12, 2015
    Inventors: Uri Lavi, Eli Goz, Gregory Begelman
  • Publication number: 20140334733
    Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.
    Type: Application
    Filed: December 26, 2013
    Publication date: November 13, 2014
    Inventors: Uri Lavi, Eli Goz, Gregory Begelman
  • Patent number: 8885984
    Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.
    Type: Grant
    Filed: December 26, 2013
    Date of Patent: November 11, 2014
    Assignee: PicScout (Israel) Ltd.
    Inventors: Uri Lavi, Eli Goz, Gregory Begelman