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公开(公告)号：US11276190B2
公开(公告)日：2022-03-15
申请号：US16859468
申请日：2020-04-27
Applicant: Snap Inc.
Inventor： Kun Duan , Daniel Ron , Chongyang Ma , Ning Xu , Shenlong Wang , Sumant Milind Hanumante , Dhritiman Sagar
Abstract: An active depth detection system can generate a depth map from an image and user interaction data, such as a pair of clicks. The active depth detection system can be implemented as a recurrent neural network that can receive the user interaction data as runtime inputs after training. The active depth detection system can store the generated depth map for further processing, such as image manipulation or real-world object detection.
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公开(公告)号：US20240272432A1
公开(公告)日：2024-08-15
申请号：US18644985
申请日：2024-04-24
Applicant: Snap Inc.
Inventor： David Meisenholder , Dhritiman Sagar , Ilteris Canberk , Justin Wilder , Sumant Milind Hanumante , James Powderly
CPC classification number: G02B27/017 , G06F3/011 , G06T19/006 , G02B2027/0138 , G02B2027/0178
Abstract: Augmented reality experiences of a user wearing an electronic eyewear device are captured by at least one camera on a frame of the electronic eyewear device, the at least one camera having a field of view that is larger than a field of view of a display of the electronic eyewear device. An augmented reality feature or object is applied to the captured scene. A photo or video of the augmented reality scene is captured and a first portion of the captured photo or video is displayed in the display. The display is adjusted to display a second portion of the captured photo or video with the augmented reality features as the user moves the user's head to view the second portion of the captured photo or video. The captured photo or video may be transferred to another device for viewing the larger field of view augmented reality image.
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公开(公告)号：US11982808B2
公开(公告)日：2024-05-14
申请号：US17744880
申请日：2022-05-16
Applicant: Snap Inc.
Inventor： David Meisenholder , Dhritiman Sagar , Ilteris Canberk , Justin Wilder , Sumant Milind Hanumante , James Powderly
CPC classification number: G02B27/017 , G06F3/011 , G06T19/006 , G02B2027/0138 , G02B2027/0178
Abstract: Augmented reality experiences of a user wearing an electronic eyewear device are captured by at least one camera on a frame of the electronic eyewear device, the at least one camera having a field of view that is larger than a field of view of a display of the electronic eyewear device. An augmented reality feature or object is applied to the captured scene. A photo or video of the augmented reality scene is captured and a first portion of the captured photo or video is displayed in the display. The display is adjusted to display a second portion of the captured photo or video with the augmented reality features as the user moves the user's head to view the second portion of the captured photo or video. The captured photo or video may be transferred to another device for viewing the larger field of view augmented reality image.
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Patent Agency Ranking
公开(公告)号：US11847760B2
公开(公告)日：2023-12-19
申请号：US17714764
申请日：2022-04-06
Applicant: Snap Inc.
Inventor： Guohui Wang , Sumant Milind Hanumante , Ning Xu , Yuncheng Li
CPC classification number: G06T3/4046 , G06N3/04 , G06N3/063 , G06N3/08 , G06T1/20 , G06T11/60 , G06T2207/20081
Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.
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公开(公告)号：US20230343046A1
公开(公告)日：2023-10-26
申请号：US18216784
申请日：2023-06-30
Applicant: Snap Inc.
Inventor： Ilteris Canberk , Sumant Milind Hanumante , Stanislav Minakov , Dhritiman Sagar
CPC classification number: G06T19/006 , G06T7/73 , G06F3/167
Abstract: Augmented reality (AR) and virtual reality (VR) environment enhancement using an eyewear device. The eyewear device includes an image capture system, a display system, and a position detection system. The image capture system and position detection system identify feature points within a point cloud that represents captured images of an environment. The display system presents image overlays to a user including enhancement graphics positioned at the feature points within the environment.
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公开(公告)号：US20230024608A1
公开(公告)日：2023-01-26
申请号：US17816563
申请日：2022-08-01
Applicant: Snap Inc.
Inventor： Guohui Wang , Fenglei Tian , Samuel Edward Hare , Sumant Milind Hanumante , Tony Mathew
Abstract: Among other things, embodiments of the present disclosure improve the functionality of computer software and systems by facilitating the automatic performance optimization of a software application based on the particular platform upon which the application runs. In some embodiments, the system can automatically choose a set of parameters or methods at run-time from a design space with pre-selected optimization methods and parameters (e.g., algorithms, software libraries, and/or hardware accelerators) for a specific task.
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公开(公告)号：US20200258248A1
公开(公告)日：2020-08-13
申请号：US16859468
申请日：2020-04-27
Applicant: Snap Inc.
Inventor： Kun Duan , Daniel Ron , Chongyang Ma , Ning Xu , Shenlong Wang , Sumant Milind Hanumante , Dhritiman Sagar
Abstract: An active depth detection system can generate a depth map from an image and user interaction data, such as a pair of clicks. The active depth detection system can be implemented as a recurrent neural network that can receive the user interaction data as runtime inputs after training. The active depth detection system can store the generated depth map for further processing, such as image manipulation or real-world object detection.
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公开(公告)号：US20190297461A1
公开(公告)日：2019-09-26
申请号：US16296153
申请日：2019-03-07
Applicant: Snap Inc.
Inventor： Ebony James Charlton , Sumant Milind Hanumante , Zhou Ren , Dhritiman Sagar
Abstract: A venue system of a client device can submit a location request to a server, which returns multiple venues that are near the client device. The client device can use one or more machine learning schemes (e.g., convolutional neural networks) to determine that the client device is located in one of specific venues of the possible venues. The venue system can further select imagery for presentation based on the venue selection. The presentation may be published as ephemeral message on a network platform.
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