Patents by Inventor Noel S. Kropf

Noel S. Kropf 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: 10303969
    Abstract: A computer-implemented method, computerized apparatus and computer program product for detecting an object's pose using a depth image. An image of an object in a scene and depth data of the scene are obtained. At least one pose hypothesis, representing a hypothesized plane, are determined based on the image. An incidence plane, hypothesized to be coplanar with the object, is determined based on the depth data. A relation indicating a level of consistency is determined between the hypothesized plane and the incidence plane for the at least one pose hypothesis.
    Type: Grant
    Filed: October 25, 2016
    Date of Patent: May 28, 2019
    Assignee: International Business Machine Corporation
    Inventors: Noel S. Kropf, Mattias Marder, Charles F Wiecha
  • Patent number: 9600736
    Abstract: A computer-implemented method, computerized apparatus and computer program product for detecting an object's pose using a depth image. An image of an object in a scene and depth data of the scene are obtained. At least one pose hypothesis, representing a hypothesized plane, are determined based on the image. An incidence plane, hypothesized to be coplanar with the object, is determined based on the depth data. A relation indicating a level of consistency is determined between the hypothesized plane and the incidence plane for the at least one pose hypothesis.
    Type: Grant
    Filed: June 29, 2015
    Date of Patent: March 21, 2017
    Assignee: International Business Machines Corporation
    Inventors: Noel S. Kropf, Mattias Marder, Charles F Wiecha
  • Publication number: 20170039721
    Abstract: A computer-implemented method, computerized apparatus and computer program product for detecting an object's pose using a depth image. An image of an object in a scene and depth data of the scene are obtained. At least one pose hypothesis, representing a hypothesized plane, are determined based on the image. An incidence plane, hypothesized to be coplanar with the object, is determined based on the depth data. A relation indicating a level of consistency is determined between the hypothesized plane and the incidence plane for the at least one pose hypothesis.
    Type: Application
    Filed: October 25, 2016
    Publication date: February 9, 2017
    Inventors: Noel S. Kropf, Mattias Marder, Charles F. Wiecha
  • Publication number: 20160379077
    Abstract: A computer-implemented method, computerized apparatus and computer program product for detecting an object's pose using a depth image. An image of an object in a scene and depth data of the scene are obtained. At least one pose hypothesis, representing a hypothesized plane, are determined based on the image. An incidence plane, hypothesized to be coplanar with the object, is determined based on the depth data. A relation indicating a level of consistency is determined between the hypothesized plane and the incidence plane for the at least one pose hypothesis.
    Type: Application
    Filed: June 29, 2015
    Publication date: December 29, 2016
    Inventors: Noel S. Kropf, Mattias Marder, Charles F. Wiecha
  • Patent number: 9300828
    Abstract: A method comprising using at least one hardware processor for: applying an edge detection algorithm to an image of a document to receive a map of edges from which multiple optional contours of the document in the image are identified; splitting the multiple optional contours into line segments; sorting the line segments into equivalence classes of collinearity representing distinct line segments of the line segments, wherein each one of the classes of collinearity represents a distinct line segment of the distinct line segments; deriving a connectivity graph based on the equivalence classes of collinearity; identifying four vertex polygons in said connectivity graph; evaluating each one of the identified four vertex polygons according to one or more segmentation criterions; and segmenting the document in the image according to the most highly evaluated four vertex polygon of the four vertex polygons.
    Type: Grant
    Filed: November 2, 2015
    Date of Patent: March 29, 2016
    Assignee: International Business Machines Corporation
    Inventors: Sivan Harary, Noel S. Kropf, Mattias Marder, Charles F. Wiecha
  • Patent number: 9280831
    Abstract: A method comprising using at least one hardware processor for: applying an edge detection algorithm to an image of a document to receive a map of edges from which multiple optional contours of the document in the image are identified; splitting the multiple optional contours into line segments; sorting the line segments into equivalence classes of collinearity representing distinct line segments of the line segments, wherein each one of the classes of collinearity represents a distinct line segment of the distinct line segments; deriving a connectivity graph based on the equivalence classes of collinearity; identifying four vertex polygons in said connectivity graph; evaluating each one of the identified four vertex polygons according to one or more segmentation criterions; and segmenting the document in the image according to the most highly evaluated four vertex polygon of the four vertex polygons.
    Type: Grant
    Filed: October 23, 2014
    Date of Patent: March 8, 2016
    Assignee: International Business Machines Corporation
    Inventors: Sivan Harary, Noel S. Kropf, Mattias Marder, Charles F. Wiecha