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1.发明公开公开(公告)号：US20230386135A1
公开(公告)日：2023-11-30
申请号：US17824211
申请日：2022-05-25
Applicant: Verizon Patent and Licensing Inc.
Inventor： Solmaz Hajmohammadi , Richard A. Paris
CPC classification number: G06T17/205 , G06T19/20 , G06T15/02 , G06T15/04 , G06T13/40 , G06T2219/2021
Abstract: An illustrative 3D modeling system accesses 1) a 3D body model bounded by vertices forming an unadorned body (without hair or clothing), and 2) a 2D image depicting an adorned subject (with hair and/or clothing). The set of vertices is configurable to simulate different subjects based on a set of parameters and the adorned subject is outlined in the 2D image by a set of silhouette pixels. The 3D modeling system maps the silhouette pixels to vertices of a particular cross section of the 3D body model using an optimization function configured to even out a distribution of silhouette pixels to vertices. Based on the mapping, the 3D modeling system defines the set of parameters to deform the 3D body model such that the particular cross section conforms to an outline of the adorned subject formed by the set of silhouette pixels. Corresponding methods and systems are also disclosed.
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公开(公告)号：US12277733B2
公开(公告)日：2025-04-15
申请号：US18074844
申请日：2022-12-05
Applicant: Verizon Patent and Licensing Inc.
Inventor： Solmaz Hajmohammadi , Richard A. Paris , Daniel M. Michler , Jie Yu
IPC: G06T7/80 , H04N13/246
Abstract: An illustrative camera calibration system may identify a common feature present within a scene and visible in each of 1) a first image of the scene captured by a first camera from a first pose represented by a first set of calibration parameters, and 2) a second image of the scene captured by a second camera from a second pose represented by a second set of calibration parameters. The system may estimate a 3D position of the common feature with respect to a global coordinate system associated with the scene and determine that the first set of calibration parameters is more accurate than the second set of calibration parameters. In response to this determination, the system may revise the second set of calibration parameters based on the estimated 3D position of the common feature and the first set of calibration parameters. Corresponding methods and systems are also disclosed.
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公开(公告)号：US12051155B2
公开(公告)日：2024-07-30
申请号：US17682966
申请日：2022-02-28
Applicant: Verizon Patent and Licensing Inc.
Inventor： Solmaz Hajmohammadi , Denny Breitenfeld , Ching-kit Chan
CPC classification number: G06T17/20 , G06T7/75 , G06T13/40 , G06T2207/20081 , G06T2207/30196
Abstract: An illustrative 3D modeling system generates a hair orientation image based on a 2D image depicting a human subject having hair. The hair orientation image includes semantic segmentation data indicating whether image elements of the hair orientation image depict the hair of the human subject or content other than the hair. The hair orientation image further includes hair flow data indicating a flow direction of the hair depicted by various image elements. Based on the hair orientation image, the 3D modeling system generates a 3D model of the hair of the human subject. The 3D modeling system then integrates the 3D model of the hair of the human subject with a 3D model of a body of the human subject. Corresponding methods and systems are also disclosed.
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公开(公告)号：US20240185461A1
公开(公告)日：2024-06-06
申请号：US18074844
申请日：2022-12-05
Applicant: Verizon Patent and Licensing Inc.
Inventor： Solmaz Hajmohammadi , Richard A. Paris , Daniel M. Michler , Jie Yu
IPC: G06T7/80
CPC classification number: G06T7/85
Abstract: An illustrative camera calibration system may identify a common feature present within a scene and visible in each of 1) a first image of the scene captured by a first camera from a first pose represented by a first set of calibration parameters, and 2) a second image of the scene captured by a second camera from a second pose represented by a second set of calibration parameters. The system may estimate a 3D position of the common feature with respect to a global coordinate system associated with the scene and determine that the first set of calibration parameters is more accurate than the second set of calibration parameters. In response to this determination, the system may revise the second set of calibration parameters based on the estimated 3D position of the common feature and the first set of calibration parameters. Corresponding methods and systems are also disclosed.
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公开(公告)号：US11217006B2
公开(公告)日：2022-01-04
申请号：US16666338
申请日：2019-10-28
Applicant: Verizon Patent and Licensing Inc.
Inventor： Arthur van Hoff , Daniel Kopeinigg , Philip Lee , Solmaz Hajmohammadi , Sourabh Khire , Simion Venshtain
Abstract: An exemplary three-dimensional (3D) simulation system accesses a two-dimensional (2D) video image captured by a video capture device and that depicts a bounded real-world scene and a real-world object present within the bounded real-world scene. The 3D simulation system accesses respective 3D models of the bounded real-world scene and the real-world object. Based on the 2D video image, the 3D simulation system tracks a spatial characteristic of the real-world object relative to the bounded real-world scene. Based on the tracked spatial characteristic of the real-world object and the 3D models of the bounded real-world scene and the real-world object, the 3D simulation system generates a 3D simulation of the bounded real-world scene within which the real-world object is simulated in accordance with the tracked spatial characteristic of the real-world object. Corresponding methods and systems are also disclosed.
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Patent Agency Ranking
6.发明公开公开(公告)号：US20230274502A1
公开(公告)日：2023-08-31
申请号：US17682966
申请日：2022-02-28
Applicant: Verizon Patent and Licensing Inc.
Inventor： Solmaz Hajmohammadi , Denny Breitenfeld , Ching-kit Chan
CPC classification number: G06T17/20 , G06T7/75 , G06T13/40 , G06T2207/20081 , G06T2207/30196
Abstract: An illustrative 3D modeling system generates a hair orientation image based on a 2D image depicting a human subject having hair. The hair orientation image includes semantic segmentation data indicating whether image elements of the hair orientation image depict the hair of the human subject or content other than the hair. The hair orientation image further includes hair flow data indicating a flow direction of the hair depicted by various image elements. Based on the hair orientation image, the 3D modeling system generates a 3D model of the hair of the human subject. The 3D modeling system then integrates the 3D model of the hair of the human subject with a 3D model of a body of the human subject. Corresponding methods and systems are also disclosed.
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公开(公告)号：US11328509B2
公开(公告)日：2022-05-10
申请号：US17357448
申请日：2021-06-24
Applicant: Verizon Patent and Licensing Inc.
Inventor： Solmaz Hajmohammadi , Garry Guan , Denny Breitenfeld
IPC: G06T19/00 , G06V20/20 , H04L67/125 , G06T19/20
Abstract: An illustrative multiscale data system determines a first distance between a first object in a scene and a virtual vantage point at the scene. The multiscale data system also determines a second distance between a second object in the scene and the virtual vantage point. In an example in which the second distance is greater than the first distance, the multiscale data system generates, based on the first and second distances, a tiled representation associated with the virtual vantage point. The tiled representation in this example includes a first representation of the first object rendered at a first quality level and a second representation of the second object rendered at a second quality level lower than the first quality level. Corresponding methods and systems are also disclosed.
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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
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.
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公开(公告)号：US11113887B2
公开(公告)日：2021-09-07
申请号：US16428982
申请日：2019-06-01
Applicant: VERIZON PATENT AND LICENSING INC.
Inventor： Daniel Kopeinigg , Arthur van Hoff , Philip Lee , Solmaz Hajmohammadi , Sourabh Khire , Simion Venshtain , Andrew Walkingshaw
Abstract: A method includes receiving two-dimensional video streams from a plurality of cameras, the two-dimensional video streams including multiple angles of a sporting event. The method further includes determining boundaries of the sporting event from the two-dimensional video streams. The method further includes identifying a location of a sporting object during the sporting event. The method further includes identifying one or more players in the sporting event. The method further includes identifying poses of each of the one or more players during the sporting event. The method further includes generating a three-dimensional model of the sporting event based on the boundaries of the sporting event, the location of the sporting object during the sporting event, and the poses of each of the one or more players during the sporting event. The method further includes generating a simulation of the three-dimensional model.
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10.发明申请公开(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
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.
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