Patents by Inventor Junli Ping

Junli Ping 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).

  • Image and video capture architecture for three-dimensional reconstruction
    Patent number: 11315272
    Abstract: The present approach relates to an automatic and efficient motion plan for a drone to collect and save a qualified dataset that may be used to improve reconstruction of 3D models using the acquired data. The present architecture provides an automatic image processing context, eliminating low quality images and providing improved image data for point cloud generation and texture mapping.
    Type: Grant
    Filed: February 6, 2020
    Date of Patent: April 26, 2022
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Ming-Ching Chang, Junli Ping, Eric Michael Gros, Arpit Jain, Peter Henry Tu
  • Three-dimensional modeling of an object
    Patent number: 11145051
    Abstract: The present approach relates to the use of a point cloud of an object to initialize or seed a space carving technique used to generate a 3D model of the object. In one implementation, feature matching is performed on 2D images, with matched features constituting the points of a point cloud model. The point cloud generated in this manner, is one input of a foreground/background segmentation algorithm, which generates a set of segmented 2D images used by a space carving routine to generate a 3D model of the object.
    Type: Grant
    Filed: April 29, 2020
    Date of Patent: October 12, 2021
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Eric Michael Gros, Junli Ping, Arpit Jain, Ming-Ching Chang, Peter Henry Tu
  • THREE-DIMENSIONAL MODELING OF AN OBJECT
    Publication number: 20200258207
    Abstract: The present approach relates to the use of a point cloud of an object to initialize or seed a space carving technique used to generate a 3D model of the object. In one implementation, feature matching is performed on 2D images, with matched features constituting the points of a point cloud model. The point cloud generated in this manner, is one input of a foreground/background segmentation algorithm, which generates a set of segmented 2D images used by a space carving routine to generate a 3D model of the object.
    Type: Application
    Filed: April 29, 2020
    Publication date: August 13, 2020
    Inventors: Eric Michael Gros, Junli Ping, Arpit Jain, Ming-Ching Chang, Peter Henry Tu
  • Three-dimensional modeling of an object
    Patent number: 10679338
    Abstract: The present approach relates to the use of a point cloud of an object to initialize or seed a space carving technique used to generate a 3D model of the object. In one implementation, feature matching is performed on 2D images, with matched features constituting the points of a point cloud model. The point cloud generated in this manner, is one input of a foreground/background segmentation algorithm, which generates a set of segmented 2D images used by a space carving routine to generate a 3D model of the object.
    Type: Grant
    Filed: August 23, 2017
    Date of Patent: June 9, 2020
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Eric Michael Gros, Junli Ping, Arpit Jain, Ming-Ching Chang, Peter Henry Tu
  • IMAGE AND VIDEO CAPTURE ARCHITECTURE FOR THREE-DIMENSIONAL RECONSTRUCTION
    Publication number: 20200175703
    Abstract: The present approach relates to an automatic and efficient motion plan for a drone to collect and save a qualified dataset that may be used to improve reconstruction of 3D models using the acquired data. The present architecture provides an automatic image processing context, eliminating low quality images and providing improved image data for point cloud generation and texture mapping.
    Type: Application
    Filed: February 6, 2020
    Publication date: June 4, 2020
    Inventors: Ming-Ching Chang, Junli Ping, Eric Michael Gros, Arpit Jain, Peter Henry Tu
  • Image and video capture architecture for three-dimensional reconstruction
    Patent number: 10600194
    Abstract: The present approach relates to an automatic and efficient motion plan for a drone to collect and save a qualified dataset that may be used to improve reconstruction of 3D models using the acquired data. The present architecture provides an automatic image processing context, eliminating low quality images and providing improved image data for point cloud generation and texture mapping.
    Type: Grant
    Filed: August 24, 2017
    Date of Patent: March 24, 2020
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Ming-Ching Chang, Junli Ping, Eric Michael Gros, Arpit Jain, Peter Henry Tu
  • THREE-DIMENSIONAL MODELING OF AN OBJECT
    Publication number: 20190066283
    Abstract: The present approach relates to the use of a point cloud of an object to initialize or seed a space carving technique used to generate a 3D model of the object. In one implementation, feature matching is performed on 2D images, with matched features constituting the points of a point cloud model. The point cloud generated in this manner, is one input of a foreground/background segmentation algorithm, which generates a set of segmented 2D images used by a space carving routine to generate a 3D model of the object.
    Type: Application
    Filed: August 23, 2017
    Publication date: February 28, 2019
    Inventors: Eric Michael Gros, Junli Ping, Arpit Jain, Ming-Ching Chang, Peter Henry Tu
  • IMAGE AND VIDEO CAPTURE ARCHITECTURE FOR THREE-DIMENSIONAL RECONSTRUCTION
    Publication number: 20190066317
    Abstract: The present approach relates to an automatic and efficient motion plan for a drone to collect and save a qualified dataset that may be used to improve reconstruction of 3D models using the acquired data. The present architecture provides an automatic image processing context, eliminating low quality images and providing improved image data for point cloud generation and texture mapping.
    Type: Application
    Filed: August 24, 2017
    Publication date: February 28, 2019
    Inventors: Ming-Ching Chang, Junli Ping, Eric Michael Gros, Arpit Jain, Peter Henry Tu