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公开(公告)号：US20220368824A1
公开(公告)日：2022-11-17
申请号：US17816223
申请日：2022-07-29
Applicant: Snap Inc.
Inventor： Linjie Luo , Chongyang Ma , Zehao Xue
Abstract: A dolly zoom effect can be applied to one or more images captured via a resource-constrained device (e.g., a mobile smartphone) by manipulating the size of a target feature while the background in the one or more images changes due to physical movement of the resource-constrained device. The target feature can be detected using facial recognition or shape detection techniques. The target feature can be resized before the size is manipulated as the background changes (e.g., changes perspective).
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公开(公告)号：US11468636B2
公开(公告)日：2022-10-11
申请号：US17222176
申请日：2021-04-05
Applicant: Snap Inc.
Inventor： Liuhao Ge , Zhou Ren , Yuncheng Li , Zehao Xue , Yingying Wang
Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for receiving a monocular image that includes a depiction of a hand and extracting features of the monocular image using a plurality of machine learning techniques. The program and method further include modeling, based on the extracted features, a pose of the hand depicted in the monocular image by adjusting skeletal joint positions of a three-dimensional (3D) hand mesh using a trained graph convolutional neural network (CNN); modeling, based on the extracted features, a shape of the hand in the monocular image by adjusting blend shape values of the 3D hand mesh representing surface features of the hand depicted in the monocular image using the trained graph CNN; and generating, for display, the 3D hand mesh adjusted to model the pose and shape of the hand depicted in the monocular image.
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公开(公告)号：US11418704B2
公开(公告)日：2022-08-16
申请号：US16933314
申请日：2020-07-20
Applicant: Snap Inc.
Inventor： Linjie Luo , Chongyang Ma , Zehao Xue
Abstract: A dolly zoom effect can be applied to one or more images captured via a resource-constrained device (e.g., a mobile smartphone) by manipulating the size of a target feature while the background in the one or more images changes due to physical movement of the resource-constrained device. The target feature can be detected using facial recognition or shape detection techniques. The target feature can be resized before the size is manipulated as the background changes (e.g., changes perspective).
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公开(公告)号：US20210271874A1
公开(公告)日：2021-09-02
申请号：US17322609
申请日：2021-05-17
Applicant: Snap Inc.
Inventor： Xuehan Xiong , Zehao Xue
Abstract: A machine learning scheme can be trained on a set of labeled training images of a subject in different poses, with different textures, and with different background environments. The label or marker data of the subject may be stored as metadata to a 3D model of the subject or rendered images of the subject. The machine learning scheme may be implemented as a supervised learning scheme that can automatically identify the labeled data to create a classification model. The classification model can classify a depicted subject in many different environments and arrangements (e.g., poses).
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公开(公告)号：US20210037179A1
公开(公告)日：2021-02-04
申请号：US16933314
申请日：2020-07-20
Applicant: Snap Inc.
Inventor： Linjie Luo , Chongyang Ma , Zehao Xue
Abstract: A dolly zoom effect can be applied to one or more images captured via a resource-constrained device (e.g., a mobile smartphone) by manipulating the size of a target feature while the background in the one or more images changes due to physical movement of the resource-constrained device. The target feature can be detected using facial recognition or shape detection techniques. The target feature can be resized before the size is manipulated as the background changes (e.g., changes perspective).
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Patent Agency Ranking
公开(公告)号：US10796482B2
公开(公告)日：2020-10-06
申请号：US16210927
申请日：2018-12-05
Applicant: Snap Inc.
Inventor： Liuhao Ge , Zhou Ren , Yuncheng Li , Zehao Xue , Yingying Wang
Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for receiving a monocular image that includes a depiction of a hand and extracting features of the monocular image using a plurality of machine learning techniques. The program and method further include modeling, based on the extracted features, a pose of the hand depicted in the monocular image by adjusting skeletal joint positions of a three-dimensional (3D) hand mesh using a trained graph convolutional neural network (CNN); modeling, based on the extracted features, a shape of the hand in the monocular image by adjusting blend shape values of the 3D hand mesh representing surface features of the hand depicted in the monocular image using the trained graph CNN; and generating, for display, the 3D hand mesh adjusted to model the pose and shape of the hand depicted in the monocular image.
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公开(公告)号：US20190325631A1
公开(公告)日：2019-10-24
申请号：US16387092
申请日：2019-04-17
Applicant: Snap Inc.
Abstract: The present invention relates to improvements to systems and methods for determining a current location of a client device, and for identifying and selecting appropriate geo-fences based on the current location of the client device. An improved geo-fence selection system performs operations that include associating media content with a geo-fence that encompasses a portion of a geographic region, sampling location data from a client device, defining a boundary based on the sampled location data from the client device, detecting an overlap between the boundary and the geo-fence, retrieving the media content associated with the geo-fence, and loading the media content at a memory location of the client device, in response to detecting the overlap.
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公开(公告)号：US12238404B2
公开(公告)日：2025-02-25
申请号：US17816223
申请日：2022-07-29
Applicant: Snap Inc.
Inventor： Linjie Luo , Chongyang Ma , Zehao Xue
Abstract: A dolly zoom effect can be applied to one or more images captured via a resource-constrained device (e.g., a mobile smartphone) by manipulating the size of a target feature while the background in the one or more images changes due to physical movement of the resource-constrained device. The target feature can be detected using facial recognition or shape detection techniques. The target feature can be resized before the size is manipulated as the background changes (e.g., changes perspective).
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公开(公告)号：US20240104815A1
公开(公告)日：2024-03-28
申请号：US18528098
申请日：2023-12-04
Applicant: Snap Inc.
CPC classification number: G06T13/20 , G06T7/73 , G06T13/40 , G06T19/006 , G06T19/20 , G06V40/174 , G06T2207/30201
Abstract: Embodiments described herein relate to an augmented expression system to generate and cause display of a specially configured interface to present an augmented reality perspective. The augmented expression system receives image and video data of a user and tracks facial landmarks of the user based on the image and video data, in real-time to generate and present a 3-dimensional (3D) bitmoji of the user.
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公开(公告)号：US11875439B2
公开(公告)日：2024-01-16
申请号：US16849397
申请日：2020-04-15
Applicant: Snap Inc.
IPC: G06T13/20 , G06K9/00 , G06T7/73 , G06T9/00 , G06T19/20 , G06T13/40 , G06T7/246 , G06T19/00 , G06V40/16
CPC classification number: G06T13/20 , G06T7/73 , G06T13/40 , G06T19/006 , G06T19/20 , G06V40/174 , G06T2207/30201
Abstract: Embodiments described herein relate to an augmented expression system to generate and cause display of a specially configured interface to present an augmented reality perspective. The augmented expression system receives image and video data of a user and tracks facial landmarks of the user based on the image and video data, in real-time to generate and present a 3-dimensional (3D) bitmoji of the user.
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