公开(公告)号：US11222474B2

公开(公告)日：2022-01-11

申请号：US16830848

申请日：2020-03-26

Applicant: Verizon Patent and Licensing Inc.

Inventor： Daniel Kopeinigg ,  Andrew Walkingshaw ,  Arthur van Hoff ,  Charles LePere ,  Christopher Redmann ,  Philip Lee ,  Solmaz Hajmohammadi ,  Sourabh Khire ,  Simion Venshtain

IPC: G06T7/70 ,  G06T19/00 ,  G06T13/40 ,  G06T17/20 ,  G06K9/00 ,  G06N20/00 ,  G06T15/04 ,  G06T15/08

Abstract: An illustrative volumetric capture system accesses a machine learning model associated with bodies of a particular body type, as well as a two-dimensional (2D) image captured by a capture device located at a real-world scene. The 2D image depicts a body of the particular body type that is present at the real-world scene. Using the machine learning model and based on the 2D image, the volumetric capture system identifies a 2D joint location, from a perspective of the capture device, of a particular joint of the body. The volumetric capture system also generates a three-dimensional (3D) reference model of the body that represents the particular joint of the body at a 3D joint location that is determined based on the 2D joint location identified using the machine learning model. Corresponding methods and systems are also disclosed.

公开(公告)号：US20200312011A1

公开(公告)日：2020-10-01

申请号：US16830848

申请日：2020-03-26

Applicant: Verizon Patent and Licensing Inc.

Inventor： Daniel Kopeinigg ,  Andrew Walkingshaw ,  Arthur van Hoff ,  Charles LePere ,  Christopher Redmann ,  Philip Lee ,  Solmaz Hajmohammadi ,  Sourabh Khire ,  Simion Venshtain

IPC: G06T15/08 ,  G06N20/00 ,  G06T7/70 ,  G06T15/04

Abstract: An illustrative volumetric capture system accesses a machine learning model associated with bodies of a particular body type, as well as a two-dimensional (2D) image captured by a capture device located at a real-world scene. The 2D image depicts a body of the particular body type that is present at the real-world scene. Using the machine learning model and based on the 2D image, the volumetric capture system identifies a 2D joint location, from a perspective of the capture device, of a particular joint of the body. The volumetric capture system also generates a three-dimensional (3D) reference model of the body that represents the particular joint of the body at a 3D joint location that is determined based on the 2D joint location identified using the machine learning model. Corresponding methods and systems are also disclosed.