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公开(公告)号：US20210192182A1
公开(公告)日：2021-06-24
申请号：US16719900
申请日：2019-12-18
Applicant: QUALCOMM Incorporated
Inventor： Chun-Ting Huang , Lei Wang , Zhen Wang , Xiaoliang Bai , Ning Bi
Abstract: Methods, systems, and devices for object detection are described. A device may receive an image, and detect, via a first stage of a cascade neural network, object recognition information over one or more angular orientations during a first pass. The device may determine, via a second stage of the cascade neural network, a confidence score associated with one or more of the candidate object in the image, the candidate bounding box associated with the candidate object in the image, or one or more object features of the candidate object in the image, or an orientation of the candidate object in the image, or a combination thereof. The device may identify, via a third stage of the cascade neural network, whether to detect the object recognition information during a second pass based on the confidence score satisfying a threshold.
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公开(公告)号：US11386633B2
公开(公告)日：2022-07-12
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：US11188740B2
公开(公告)日：2021-11-30
申请号：US16719900
申请日：2019-12-18
Applicant: QUALCOMM incorporated
Inventor： Chun-Ting Huang , Lei Wang , Zhen Wang , Xiaoliang Bai , Ning Bi
Abstract: Methods, systems, and devices for object detection are described. A device may receive an image, and detect, via a first stage of a cascade neural network, object recognition information over one or more angular orientations during a first pass. The device may determine, via a second stage of the cascade neural network, a confidence score associated with one or more of the candidate object in the image, the candidate bounding box associated with the candidate object in the image, or one or more object features of the candidate object in the image, or an orientation of the candidate object in the image, or a combination thereof. The device may identify, via a third stage of the cascade neural network, whether to detect the object recognition information during a second pass based on the confidence score satisfying a threshold.
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公开(公告)号：US12154189B2
公开(公告)日：2024-11-26
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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