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公开(公告)号：US20250095282A1
公开(公告)日：2025-03-20
申请号：US18968137
申请日：2024-12-04
Applicant: Snap Inc.
Inventor： Kai Zhou , Qi Qi , Jeroen Hol
Abstract: Systems and methods of generating ground truth datasets for producing virtual reality (VR) experiences, for testing simulated sensor configurations, and for training machine-learning algorithms. In one example, a recording device with one or more cameras and one or more inertial measurement units captures images and motion data along a real path through a physical environment. A SLAM application uses the captured data to calculate the trajectory of the recording device. A polynomial interpolation module uses Chebyshev polynomials to generate a continuous time trajectory (CTT) function. The method includes identifying a virtual environment and assembling a simulated sensor configuration, such as a VR headset. Using the CTT function, the method includes generating a ground truth output dataset that represents the simulated sensor configuration in motion along a virtual path through the virtual environment. The virtual path is closely correlated with the motion along the real path as captured by the recording device. Accordingly, the output dataset produces a realistic and life-like VR experience. In addition, the methods described can be used to generate multiple output datasets, at various sample rates, which are useful for training the machine-learning algorithms which are part of many VR systems.
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公开(公告)号：US12032168B2
公开(公告)日：2024-07-09
申请号：US18137729
申请日：2023-04-21
Applicant: Snap Inc.
Inventor： Clemens Birklbauer , Georg Halmetschlager-Funek , Jeroen Hol , Matthias Kalkgruber , Daniel Wagner
IPC: G02B27/01 , G06F3/01 , G06T19/00 , H04N13/344
CPC classification number: G02B27/0172 , G02B27/0176 , G06F3/011 , G06F3/017 , G06T19/006 , H04N13/344 , G02B2027/0138 , G02B2027/0154 , G02B2027/0178
Abstract: An eyewear device with flexible frame for Augmented Reality (AR) is disclosed. At least two sensors and a display are mounted on the flexible frame. When in use, the real time geometry of the eyewear device may change from factory calibrated geometry, resulting in low quality AR rendering. A modeling module is provided to model the real time geometry of the eyewear device on the fly using sensor information of the at least two sensors. The modeled real time geometry is then provided to a rendering module to accurately display the AR to the user.
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公开(公告)号：US20240135633A1
公开(公告)日：2024-04-25
申请号：US18400289
申请日：2023-12-29
Applicant: Snap Inc.
Inventor： Kai Zhou , Qi Qi , Jeroen Hol
CPC classification number: G06T15/20 , G06T7/20 , G06T7/50 , G06T7/70 , G06T2207/30241 , G06T2207/30244
Abstract: Systems and methods of generating ground truth datasets for producing virtual reality (VR) experiences, for testing simulated sensor configurations, and for training machine-learning algorithms. In one example, a recording device with one or more cameras and one or more inertial measurement units captures images and motion data along a real path through a physical environment. A SLAM application uses the captured data to calculate the trajectory of the recording device. A polynomial interpolation module uses Chebyshev polynomials to generate a continuous time trajectory (CTT) function. The method includes identifying a virtual environment and assembling a simulated sensor configuration, such as a VR headset. Using the CTT function, the method includes generating a ground truth output dataset that represents the simulated sensor configuration in motion along a virtual path through the virtual environment. The virtual path is closely correlated with the motion along the real path as captured by the recording device. Accordingly, the output dataset produces a realistic and life-like VR experience. In addition, the methods described can be used to generate multiple output datasets, at various sample rates, which are useful for training the machine-learning algorithms which are part of many VR systems.
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公开(公告)号：US20230296902A1
公开(公告)日：2023-09-21
申请号：US18137729
申请日：2023-04-21
Applicant: Snap Inc.
Inventor： Clemens Birklbauer , Georg Halmetschlager-Funek , Jeroen Hol , Matthias Kalkgruber , Daniel Wagner
IPC: G02B27/01 , H04N13/344 , G06T19/00 , G06F3/01
CPC classification number: G02B27/0172 , G02B27/0176 , G06F3/011 , G06F3/017 , G06T19/006 , H04N13/344 , G02B2027/0138 , G02B2027/0154 , G02B2027/0178
Abstract: An eyewear device with flexible frame for Augmented Reality (AR) is disclosed. At least two sensors and a display are mounted on the flexible frame. When in use, the real time geometry of the eyewear device may change from factory calibrated geometry, resulting in low quality AR rendering. A modeling module is provided to model the real time geometry of the eyewear device on the fly using sensor information of the at least two sensors. The modeled real time geometry is then provided to a rendering module to accurately display the AR to the user.
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公开(公告)号：US12190438B2
公开(公告)日：2025-01-07
申请号：US18400289
申请日：2023-12-29
Applicant: Snap Inc.
Inventor： Kai Zhou , Qi Qi , Jeroen Hol
Abstract: Systems and methods of generating ground truth datasets for producing virtual reality (VR) experiences, for testing simulated sensor configurations, and for training machine-learning algorithms. In one example, a recording device with one or more cameras and one or more inertial measurement units captures images and motion data along a real path through a physical environment. A SLAM application uses the captured data to calculate the trajectory of the recording device. A polynomial interpolation module uses Chebyshev polynomials to generate a continuous time trajectory (CTT) function. The method includes identifying a virtual environment and assembling a simulated sensor configuration, such as a VR headset. Using the CTT function, the method includes generating a ground truth output dataset that represents the simulated sensor configuration in motion along a virtual path through the virtual environment. The virtual path is closely correlated with the motion along the real path as captured by the recording device. Accordingly, the output dataset produces a realistic and life-like VR experience. In addition, the methods described can be used to generate multiple output datasets, at various sample rates, which are useful for training the machine-learning algorithms which are part of many VR systems.
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Patent Agency Ranking
公开(公告)号：US20240329409A1
公开(公告)日：2024-10-03
申请号：US18742166
申请日：2024-06-13
Applicant: Snap Inc.
Inventor： Clemens Birklbauer , Georg Halmetschlager-Funek , Jeroen Hol , Matthias Kalkgruber , Daniel Wagner
IPC: G02B27/01 , G06F3/01 , G06T19/00 , H04N13/344
CPC classification number: G02B27/0172 , G02B27/0176 , G06F3/011 , G06F3/017 , G06T19/006 , H04N13/344 , G02B2027/0138 , G02B2027/0154 , G02B2027/0178
Abstract: An eyewear device with flexible frame for Augmented Reality (AR) is disclosed. At least two sensors and a display are mounted on the flexible frame. When in use, the real time geometry of the eyewear device may change from factory calibrated geometry, resulting in low quality AR rendering. A modeling module is provided to model the real time geometry of the eyewear device on the fly using sensor information of the at least two sensors. The modeled real time geometry is then provided to a rendering module to accurately display the AR to the user.
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公开(公告)号：US20220366639A1
公开(公告)日：2022-11-17
申请号：US17877451
申请日：2022-07-29
Applicant: Snap Inc.
Inventor： Kai Zhou , Qi Qi , Jeroen Hol
Abstract: Systems and methods of generating ground truth datasets for producing virtual reality (VR) experiences, for testing simulated sensor configurations, and for training machine-learning algorithms. In one example, a recording device with one or more cameras and one or more inertial measurement units captures images and motion data along a real path through a physical environment. A SLAM application uses the captured data to calculate the trajectory of the recording device. A polynomial interpolation module uses Chebyshev polynomials to generate a continuous time trajectory (CTT) function. The method includes identifying a virtual environment and assembling a simulated sensor configuration, such as a VR headset. Using the CTT function, the method includes generating a ground truth output dataset that represents the simulated sensor configuration in motion along a virtual path through the virtual environment. The virtual path is closely correlated with the motion along the real path as captured by the recording device. Accordingly, the output dataset produces a realistic and life-like VR experience. In addition, the methods described can be used to generate multiple output datasets, at various sample rates, which are useful for training the machine-learning algorithms which are part of many VR systems.
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公开(公告)号：US11887246B2
公开(公告)日：2024-01-30
申请号：US17877451
申请日：2022-07-29
Applicant: Snap Inc.
Inventor： Kai Zhou , Qi Qi , Jeroen Hol
CPC classification number: G06T15/20 , G06T7/20 , G06T7/50 , G06T7/70 , G06T2207/30241 , G06T2207/30244
Abstract: Systems and methods of generating ground truth datasets for producing virtual reality (VR) experiences, for testing simulated sensor configurations, and for training machine-learning algorithms. In one example, a recording device with one or more cameras and one or more inertial measurement units captures images and motion data along a real path through a physical environment. A SLAM application uses the captured data to calculate the trajectory of the recording device. A polynomial interpolation module uses Chebyshev polynomials to generate a continuous time trajectory (CTT) function. The method includes identifying a virtual environment and assembling a simulated sensor configuration, such as a VR headset. Using the CTT function, the method includes generating a ground truth output dataset that represents the simulated sensor configuration in motion along a virtual path through the virtual environment. The virtual path is closely correlated with the motion along the real path as captured by the recording device. Accordingly, the output dataset produces a realistic and life-like VR experience. In addition, the methods described can be used to generate multiple output datasets, at various sample rates, which are useful for training the machine-learning algorithms which are part of many VR systems.
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公开(公告)号：US11662589B2
公开(公告)日：2023-05-30
申请号：US17588641
申请日：2022-01-31
Applicant: Snap Inc.
Inventor： Clemens Birklbauer , Georg Halmetschlager-Funek , Jeroen Hol , Matthias Kalkgruber , Daniel Wagner
IPC: G02B27/01 , H04N13/344 , G06T19/00 , G06F3/01
CPC classification number: G02B27/0172 , G02B27/0176 , G06F3/011 , G06F3/017 , G06T19/006 , H04N13/344 , G02B2027/0138 , G02B2027/0154 , G02B2027/0178
Abstract: An eyewear device with flexible frame for Augmented Reality (AR) is disclosed. At least two sensors and a display are mounted on the flexible frame. When in use, the real time geometry of the eyewear device may change from factory calibrated geometry, resulting in low quality AR rendering. A modeling module is provided to model the real time geometry of the eyewear device on the fly using sensor information of the at least two sensors. The modeled real time geometry is then provided to a rendering module to accurately display the AR to the user.
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公开(公告)号：US11417052B2
公开(公告)日：2022-08-16
申请号：US17342851
申请日：2021-06-09
Applicant: Snap Inc.
Inventor： Kai Zhou , Qi Qi , Jeroen Hol
Abstract: Systems and methods of generating ground truth datasets for producing virtual reality (VR) experiences, for testing simulated sensor configurations, and for training machine-learning algorithms. In one example, a recording device with one or more cameras and one or more inertial measurement units captures images and motion data along a real path through a physical environment. A SLAM application uses the captured data to calculate the trajectory of the recording device. A polynomial interpolation module uses Chebyshev polynomials to generate a continuous time trajectory (CTT) function. The method includes identifying a virtual environment and assembling a simulated sensor configuration, such as a VR headset. Using the CTT function, the method includes generating a ground truth output dataset that represents the simulated sensor configuration in motion along a virtual path through the virtual environment. The virtual path is closely correlated with the motion along the real path as captured by the recording device. Accordingly, the output dataset produces a realistic and life-like VR experience. In addition, the methods described can be used to generate multiple output datasets, at various sample rates, which are useful for training the machine-learning algorithms which are part of many VR systems.
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