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公开(公告)号:US20240257557A1
公开(公告)日:2024-08-01
申请号:US18161628
申请日:2023-01-30
Applicant: QUALCOMM Incorporated
Inventor: Peng LIU , Lei WANG , Ning BI , Zhen WANG , Shiwei JIN
IPC: G06V40/16 , G06V10/774 , G06V10/82 , G06V40/50
CPC classification number: G06V40/176 , G06V10/774 , G06V10/82 , G06V40/50
Abstract: System and techniques are described herein for processing images to detect expressions of a subject. In one illustrative example, a method of recognizing facial expressions in one or more images includes obtaining, by a computing device, a first image of a person; obtaining expression information based on the first image and an anchor image associated with the person; and determining an expression classification associated with the first image based on the expression information.
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公开(公告)号:US20210390789A1
公开(公告)日:2021-12-16
申请号:US17109045
申请日:2020-12-01
Applicant: QUALCOMM Incorporated
Inventor: Peng LIU , Lei WANG , Zhen WANG , Ke-Li CHENG , Ning BI
Abstract: Systems and techniques are provided for facial image augmentation. An example method can include obtaining a first image capturing a face. Using the first image, the method can determine, using a prediction model, a UV face position map including a two-dimensional (2D) representation of a three-dimensional (3D) structure of the face. The method can generate, based on the UV face position map, a 3D model of the face. The method can generate an extended 3D model of the face by extending the 3D model to include region(s) beyond a boundary of the 3D model. The region(s) can include a forehead region, a region surrounding at least a portion of the face, and/or other region. The method can generate, based on the extended 3D model, a second image depicting the face in a rotated position relative to a position of the face in the first image.
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公开(公告)号:US20240338868A1
公开(公告)日:2024-10-10
申请号:US18295741
申请日:2023-04-04
Applicant: QUALCOMM Incorporated
Inventor: Zhen WANG , Shiwei JIN , Lei WANG , Ning BI
CPC classification number: G06T11/60 , G06F3/013 , G06T3/60 , G06T7/70 , G06T9/00 , G06V10/44 , G06V10/82 , G06T2207/30201
Abstract: Systems and techniques are described herein for generating an image. For instance, a method for generating an image is provided. The method may include obtaining a source image of a face having source attributes and exhibiting a source pose and source gaze; obtaining at least one of a target pose and a target gaze; and generating a modified image of the face having the source attributes and exhibiting at least one of the target pose and the target gaze.
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公开(公告)号:US20230252687A1
公开(公告)日:2023-08-10
申请号:US17668956
申请日:2022-02-10
Applicant: QUALCOMM Incorporated
Inventor: Junkang ZHANG , Zhen WANG , Lei WANG , Ning BI
Abstract: Systems and techniques are described for image processing. An imaging system receives an identity image and an attribute image. The identity image depicts a first person having an identity. The attribute image depicts a second person having an attribute, such as a facial feature, an accessory worn by the second person, and/or an expression. The imaging system uses trained machine learning model(s) to generate a combined image based on the identity image and the attribute image. The combined image depicts a virtual person having both the identity of the first person and the attribute of the second person. The imaging system outputs the combined image, for instance by displaying the combined image or sending the combined image to a receiving device. In some examples, the imaging system updates the trained machine learning model(s) based on the combined image.
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公开(公告)号:US20210019541A1
公开(公告)日:2021-01-21
申请号:US16516134
申请日:2019-07-18
Applicant: QUALCOMM Incorporated
Inventor: Zhen WANG , Lei WANG , Ning BI , Yingyong QI
Abstract: Systems, methods, and computer-readable media are provided media for transferring visual attributes to images. In some examples, a system can obtain a first image associated with a user; generate a second image including image data from the first image modified to add a first visual attribute transferred from one or more images or remove a second visual attribute in the image data; compare a first set of features from the first image with a second set of features from the second image; determine, based on a comparison result, whether the first image and the second image match at least partially; and update a library of user verification images to include the second image when the first image and the second image match at least partially.
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