Patents by Inventor Michael Joseph Mannion

Michael Joseph Mannion 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: 10158939
    Abstract: Multiple Holocam Orbs observe a real-life environment and generate an artificial reality representation of the real-life environment. Depth image data is cleansed of error due to LED shadow by identifying the edge of a foreground object in an (near infrared light) intensity image, identifying an edge in a depth image, and taking the difference between the start of both edges. Depth data error due to parallax is identified noting when associated text data in a given pixel row that is progressing in a given row direction (left-to-right or right-to-left) reverses order. Sound sources are identified by comparing results of a blind audio source localization algorithm, with the spatial 3D model provided by the Holocam Orb. Sound sources that corresponding to identifying 3D objects are associated together. Additionally, types of data supported by a standard movie data container, such as an MPEG container, is expanding to incorporate free viewpoint data (FVD) model data.
    Type: Grant
    Filed: January 17, 2017
    Date of Patent: December 18, 2018
    Assignee: SEIKO EPSON CORPORATION
    Inventors: Michael Joseph Mannion, Andrei Mark Rotenstein
  • Patent number: 10122998
    Abstract: A Holocam Orb system uses multiple Holocam Orbs (Orbs) within a real-life environment to generate an artificial reality representation of the real-life environment in real time. Each Orb is an electronic and software unit that includes a local logic module, a local CPU and multiple synchronous and asynchronous sensors, include stereo cameras, time-of-flight sensors, inertial measurement units and a microphone array. Each Orb synchronizes itself to a common master clock, and packages its asynchrony data into data bundles whose timings are matched to frame timing of synchronous sensors, and all gathered data bundles and data frames are given a time stamp using a reference clock common to all Orbs. The overlapping sensor data from all the Orbs is combined to create the artificial reality representation.
    Type: Grant
    Filed: January 28, 2016
    Date of Patent: November 6, 2018
    Assignee: SEIKO EPSON CORPORATION
    Inventors: John Peter van Baarsen, Michael Joseph Mannion, Kevin Gillett, Donald Gordon Wait, Keith Gillett, Jimmy Kwok Lap Lai, Alexander Burton
  • Patent number: 10116915
    Abstract: Multiple Holocam Orbs observe a real-life environment and generate an artificial reality representation of the real-life environment. Depth image data is cleansed of error due to LED shadow by identifying the edge of a foreground object in an (near infrared light) intensity image, identifying an edge in a depth image, and taking the difference between the start of both edges. Depth data error due to parallax is identified noting when associated text data in a given pixel row that is progressing in a given row direction (left-to-right or right-to-left) reverses order. Sound sources are identified by comparing results of a blind audio source localization algorithm, with the spatial 3D model provided by the Holocam Orb. Sound sources that corresponding to identifying 3D objects are associated together. Additionally, types of data supported by a standard movie data container, such as an MPEG container, is expanding to incorporate free viewpoint data (FVD) model data.
    Type: Grant
    Filed: January 17, 2017
    Date of Patent: October 30, 2018
    Assignee: SEIKO EPSON CORPORATION
    Inventors: Vivek Mogalapalli, Ivo Moravec, Michael Joseph Mannion
  • Publication number: 20180203112
    Abstract: Multiple Holocam Orbs observe a real-life environment and generate an artificial reality representation of the real-life environment. Depth image data is cleansed of error due to LED shadow by identifying the edge of a foreground object in an (near infrared light) intensity image, identifying an edge in a depth image, and taking the difference between the start of both edges. Depth data error due to parallax is identified noting when associated text data in a given pixel row that is progressing in a given row direction (left-to-right or right-to-left) reverses order. Sound sources are identified by comparing results of a blind audio source localization algorithm, with the spatial 3D model provided by the Holocam Orb. Sound sources that corresponding to identifying 3D objects are associated together. Additionally, types of data supported by a standard movie data container, such as an MPEG container, is expanding to incorporate free viewpoint data (FVD) model data.
    Type: Application
    Filed: January 17, 2017
    Publication date: July 19, 2018
    Inventors: Michael Joseph Mannion, Andrei Mark Rotenstein
  • Publication number: 20180205926
    Abstract: Multiple Holocam Orbs observe a real-life environment and generate an artificial reality representation of the real-life environment. Depth image data is cleansed of error due to LED shadow by identifying the edge of a foreground object in an (near infrared light) intensity image, identifying an edge in a depth image, and taking the difference between the start of both edges. Depth data error due to parallax is identified noting when associated text data in a given pixel row that is progressing in a given row direction (left-to-right or right-to-left) reverses order. Sound sources are identified by comparing results of a blind audio source localization algorithm, with the spatial 3D model provided by the Holocam Orb. Sound sources that corresponding to identifying 3D objects are associated together. Additionally, types of data supported by a standard movie data container, such as an MPEG container, is expanding to incorporate free viewpoint data (FVD) model data.
    Type: Application
    Filed: January 17, 2017
    Publication date: July 19, 2018
    Inventors: Vivek Mogalapalli, Ivo Moravec, Michael Joseph Mannion
  • Patent number: 9922451
    Abstract: A three-dimensional image processing apparatus includes: an obtainment unit that obtains range image data from each of a plurality of range image generation devices and obtains visible light image data from each of a plurality of visible light image generation devices; a model generation unit that generates three-dimensional model data expressing a target contained in a scene based on a plurality of pieces of the range image data; a setting unit that sets a point of view for the scene; and a rendering unit that selects one of the pieces of the visible light image data in accordance with the set point of view and renders a region corresponding to the surface of the target based on the selected visible light image data.
    Type: Grant
    Filed: February 11, 2016
    Date of Patent: March 20, 2018
    Assignee: Seiko Epson Corporation
    Inventors: Ivo Moravec, Michael Joseph Mannion
  • Publication number: 20160323565
    Abstract: A Holocam Orb system uses multiple Holocam Orbs (Orbs) within a real-life environment to generate an artificial reality representation of the real-life environment in real time. Each Orb is an electronic and software unit that includes a local logic module, a local CPU and multiple synchronous and asynchronous sensors, include stereo cameras, time-of-flight sensors, inertial measurement units and a microphone array. Each Orb synchronizes itself to a common master clock, and packages its asynchrony data into data bundles whose timings are matched to frame timing of synchronous sensors, and all gathered data bundles and data frames are given a time stamp using a reference clock common to all Orbs. The overlapping sensor data from all the Orbs is combined to create the artificial reality representation.
    Type: Application
    Filed: January 28, 2016
    Publication date: November 3, 2016
    Inventors: John Peter van Baarsen, Michael Joseph Mannion, Kevin Gillett, Donald Gordon Wait, Keith Gillett, Jimmy Kwok Lap Lai, Alexander Burton
  • Publication number: 20160260244
    Abstract: A three-dimensional image processing apparatus includes: an obtainment unit that obtains range image data from each of a plurality of range image generation devices and obtains visible light image data from each of a plurality of visible light image generation devices; a model generation unit that generates three-dimensional model data expressing a target contained in a scene based on a plurality of pieces of the range image data; a setting unit that sets a point of view for the scene; and a rendering unit that selects one of the pieces of the visible light image data in accordance with the set point of view and renders a region corresponding to the surface of the target based on the selected visible light image data.
    Type: Application
    Filed: February 11, 2016
    Publication date: September 8, 2016
    Inventors: Ivo MORAVEC, Michael Joseph Mannion