-
公开(公告)号：US20220121841A1
公开(公告)日：2022-04-21
申请号：US17075207
申请日：2020-10-20
Applicant: Adobe Inc.
Inventor： Jinoh Oh , Xin Lu , Gahye Park , Jen-Chan Jeff Chien , Yumin Jia
Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for utilizing a machine learning model trained to determine subtle pose differentiations to analyze a repository of captured digital images of a particular user to automatically capture digital images portraying the user. For example, the disclosed systems can utilize a convolutional neural network to determine a pose/facial expression similarity metric between a sample digital image from a camera viewfinder stream of a client device and one or more previously captured digital images portraying the user. The disclosed systems can determine that the similarity metric satisfies a similarity threshold, and automatically capture a digital image utilizing a camera device of the client device. Thus, the disclosed systems can automatically and efficiently capture digital images, such as selfies, that accurately match previous digital images portraying a variety of unique facial expressions specific to individual users.
-
公开(公告)号：US12154379B2
公开(公告)日：2024-11-26
申请号：US18306439
申请日：2023-04-25
Applicant: Adobe Inc.
Inventor： Jinoh Oh , Xin Lu , Gahye Park , Jen-Chan Jeff Chien , Yumin Jia
Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for utilizing a machine learning model trained to determine subtle pose differentiations to analyze a repository of captured digital images of a particular user to automatically capture digital images portraying the user. For example, the disclosed systems can utilize a convolutional neural network to determine a pose/facial expression similarity metric between a sample digital image from a camera viewfinder stream of a client device and one or more previously captured digital images portraying the user. The disclosed systems can determine that the similarity metric satisfies a similarity threshold, and automatically capture a digital image utilizing a camera device of the client device. Thus, the disclosed systems can automatically and efficiently capture digital images, such as selfies, that accurately match previous digital images portraying a variety of unique facial expressions specific to individual users.
-
Patent Agency Ranking
公开(公告)号：US20250069437A1
公开(公告)日：2025-02-27
申请号：US18948067
申请日：2024-11-14
Applicant: Adobe Inc.
Inventor： Jinoh Oh , Xin Lu , Gahye Park , Jen-Chan Jeff Chien , Yumin Jia
Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for utilizing a machine learning model trained to determine subtle pose differentiations to analyze a repository of captured digital images of a particular user to automatically capture digital images portraying the user. For example, the disclosed systems can utilize a convolutional neural network to determine a pose/facial expression similarity metric between a sample digital image from a camera viewfinder stream of a client device and one or more previously captured digital images portraying the user. The disclosed systems can determine that the similarity metric satisfies a similarity threshold, and automatically capture a digital image utilizing a camera device of the client device. Thus, the disclosed systems can automatically and efficiently capture digital images, such as selfies, that accurately match previous digital images portraying a variety of unique facial expressions specific to individual users.
-
4.发明公开公开(公告)号：US20230260324A1
公开(公告)日：2023-08-17
申请号：US18306439
申请日：2023-04-25
Applicant: Adobe Inc.
Inventor： Jinoh Oh , Xin Lu , Gahye Park , Jen-Chan Jeff Chien , Yumin Jia
CPC classification number: G06V40/174 , G06T7/97 , G06V40/23 , G06F18/22 , G06T2207/20084
Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for utilizing a machine learning model trained to determine subtle pose differentiations to analyze a repository of captured digital images of a particular user to automatically capture digital images portraying the user. For example, the disclosed systems can utilize a convolutional neural network to determine a pose/facial expression similarity metric between a sample digital image from a camera viewfinder stream of a client device and one or more previously captured digital images portraying the user. The disclosed systems can determine that the similarity metric satisfies a similarity threshold, and automatically capture a digital image utilizing a camera device of the client device. Thus, the disclosed systems can automatically and efficiently capture digital images, such as selfies, that accurately match previous digital images portraying a variety of unique facial expressions specific to individual users.
-
公开(公告)号：US11670114B2
公开(公告)日：2023-06-06
申请号：US17075207
申请日：2020-10-20
Applicant: Adobe Inc.
Inventor： Jinoh Oh , Xin Lu , Gahye Park , Jen-Chan Jeff Chien , Yumin Jia
CPC classification number: G06V40/174 , G06K9/6215 , G06T7/97 , G06V40/23 , G06T2207/20084
Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for utilizing a machine learning model trained to determine subtle pose differentiations to analyze a repository of captured digital images of a particular user to automatically capture digital images portraying the user. For example, the disclosed systems can utilize a convolutional neural network to determine a pose/facial expression similarity metric between a sample digital image from a camera viewfinder stream of a client device and one or more previously captured digital images portraying the user. The disclosed systems can determine that the similarity metric satisfies a similarity threshold, and automatically capture a digital image utilizing a camera device of the client device. Thus, the disclosed systems can automatically and efficiently capture digital images, such as selfies, that accurately match previous digital images portraying a variety of unique facial expressions specific to individual users.
-
公开(公告)号：US20200151846A1
公开(公告)日：2020-05-14
申请号：US16186216
申请日：2018-11-09
Applicant: Adobe Inc.
Inventor： Zhan Yu , Yumin Jia , Jinoh Oh , Haiting Lin
Abstract: This application relates generally to parallel computer processing, and more specifically, to parallel processing within a rendering engine via parallel scene graphs. One or more parallel scene graphs or parallel data graphs may be provided to a rendering engine. The rendering engine may identify dependencies within the parallel data structures and process, in parallel, one or more aspects of a the parallel data structure.
-
公开(公告)号：US10650482B1
公开(公告)日：2020-05-12
申请号：US16186216
申请日：2018-11-09
Applicant: Adobe Inc.
Inventor： Zhan Yu , Yumin Jia , Jinoh Oh , Haiting Lin
Abstract: This application relates generally to parallel computer processing, and more specifically, to parallel processing within a rendering engine via parallel scene graphs. One or more parallel scene graphs or parallel data graphs may be provided to a rendering engine. The rendering engine may identify dependencies within the parallel data structures and process, in parallel, one or more aspects of a the parallel data structure.
-
-
-
-
-
-
Search Results
7
records
(took 0.014 seconds)
