公开(公告)号：US20230386052A1

公开(公告)日：2023-11-30

申请号：US17828962

申请日：2022-05-31

Applicant: QUALCOMM Incorporated

Inventor： Jiancheng LYU ,  Dashan GAO ,  Yingyong QI ,  Shuai ZHANG ,  Ning BI

IPC: G06T7/246 ,  G06V10/62 ,  G06T7/194 ,  G06T7/11 ,  G06V10/764 ,  G06V10/80 ,  G06T7/73 ,  G06V20/70

CPC classification number: G06T7/248 ,  G06V10/62 ,  G06T7/194 ,  G06T7/11 ,  G06V10/764 ,  G06V10/806 ,  G06T7/74 ,  G06V20/70 ,  G06V2201/07 ,  G06T2207/20081 ,  G06T2207/20221 ,  G06T2207/10016

Abstract: Systems and techniques are provided for performing scene segmentation and object tracking. For example, a method for processing one or more frames. The method may include determining first one or more features from a first frame. The first frame includes a target object. The method may include obtaining a first mask associated with the first frame. The first mask includes an indication of the target object. The method may further include generating, based on the first mask and the first one or more features, a representation of a foreground and a background of the first frame. The method may include determining second one or more features from a second frame and determining, based on the representation of the foreground and the background of the first frame and the second one or more features, a location of the target object in the second frame.

公开(公告)号：US20240394893A1

公开(公告)日：2024-11-28

申请号：US18695794

申请日：2021-12-01

Applicant: QUALCOMM Incorporated

Inventor： Yingyong QI ,  Xin LI ,  Xiaowen YING ,  Shuai ZHANG

IPC: G06T7/194 ,  G06V10/25 ,  G06V10/75

Abstract: Systems, methods, and computer-readable media are provided for performing image segmentation with depth filtering. In some examples, a method can include obtaining a frame capturing a scene: generating, based on the frame, a first segmentation map including a target segmentation mask identifying a target of interest and one or more background masks identifying one or more background regions of the frame; and generating a second segmentation map including the first segmentation map with the one or more background masks filtered out, the one or more background masks being filtered from the first segmentation map based on a depth map associated with the frame.

公开(公告)号：US20200082062A1

公开(公告)日：2020-03-12

申请号：US16125360

申请日：2018-09-07

Applicant: QUALCOMM Incorporated

Inventor： Eyasu Zemene MEQUANINT ,  Shuai ZHANG ,  Yingyong QI ,  Ning BI

IPC: G06F21/32 ,  G06F21/44

Abstract: Techniques and systems are provided for authenticating a user of a device. For example, input biometric data associated with a person can be obtained. A similarity score for the input biometric data can be determined by comparing the input biometric data to a set of templates that include reference biometric data associated with the user. The similarity score can be compared to an authentication threshold. The person is authenticated as the user when the similarity score is greater than the authentication threshold. The similarity score can also be compared to a learning threshold that is greater than the authentication threshold. A new template including features of the input biometric data is saved for the user when the similarity score is less than the learning threshold and greater than the authentication threshold.

公开(公告)号：US20220164426A1

公开(公告)日：2022-05-26

申请号：US17457365

申请日：2021-12-02

Applicant: QUALCOMM Incorporated

Inventor： Eyasu Zemene MEQUANINT ,  Shuai ZHANG ,  Yingyong QI ,  Ning BI

IPC: G06F21/32 ,  G06F21/44

Abstract: Techniques and systems are provided for authenticating a user of a device. For example, input biometric data associated with a person can be obtained. A similarity score for the input biometric data can be determined by comparing the input biometric data to a set of templates that include reference biometric data associated with the user. The similarity score can be compared to an authentication threshold. The person is authenticated as the user when the similarity score is greater than the authentication threshold. The similarity score can also be compared to a learning threshold that is greater than the authentication threshold. A new template including features of the input biometric data is saved for the user when the similarity score is less than the learning threshold and greater than the authentication threshold.

公开(公告)号：US20230306600A1

公开(公告)日：2023-09-28

申请号：US17669040

申请日：2022-02-10

Applicant: QUALCOMM Incorporated

Inventor： Shuai ZHANG ,  Xiaowen YING ,  Jiancheng LYU ,  Yingyong QI

IPC: G06T7/10 ,  G06T7/50 ,  G06N3/063

CPC classification number: G06T7/10 ,  G06N3/063 ,  G06T7/50 ,  G06T2207/10024 ,  G06T2207/20081

Abstract: Systems and techniques are provided for performing semantic image segmentation using a machine learning system (e.g., including one or more cross-attention transformer layers). For instance, a process can include generating one or more input image features for a frame of image data and generating one or more input depth features for a frame of depth data. One or more fused image features can be determined, at least in part, by fusing the one or more input depth features with the one or more input image features, using a first cross-attention transformer network. One or more segmentation masks can be generated for the frame of image data based on the one or more fused image features.