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公开(公告)号：US20230419592A1
公开(公告)日：2023-12-28
申请号：US18099602
申请日：2023-01-20
Inventor： Di WANG , Ruizhi Chen , Chen Zhao , Jingtuo Liu , Errui Ding , Tian Wu , Haifeng Wang
CPC classification number: G06T15/20 , G06V40/168 , G06T15/04 , G06T15/40 , G06T19/20 , G06V10/82 , G06V10/774 , G06T2219/2004 , G06T2219/2012 , G06T2219/2016
Abstract: A method for training a three-dimensional face reconstruction model includes inputting an acquired sample face image into a three-dimensional face reconstruction model to obtain a coordinate transformation parameter and a face parameter of the sample face image; determining the three-dimensional stylized face image of the sample face image according to the face parameter of the sample face image and the acquired stylized face map of the sample face image; transforming the three-dimensional stylized face image of the sample face image into a camera coordinate system based on the coordinate transformation parameter, and rendering the transformed three-dimensional stylized face image to obtain a rendered map; and training the three-dimensional face reconstruction model according to the rendered map and the stylized face map of the sample face image.
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Patent Agency Ranking
公开(公告)号：US20230120985A1
公开(公告)日：2023-04-20
申请号：US18083313
申请日：2022-12-16
Inventor： Yanwen Fan , Xiyu Yu , Gang Zhang , Jingtuo Liu , Haifeng Wang , Errui Ding , Junyu Han
IPC: G06V10/774 , G06V40/16 , G06V10/26 , G06V10/77
Abstract: A method for training a face recognition model includes: acquiring a plurality of first training images being uncovered face images, and acquiring a plurality of covering object images; generating a plurality of second training images by separately fusing the plurality of covering object images with the uncovered face images; and training the face recognition model by inputting the plurality of first training images and the plurality of second training images into the face recognition model.
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3.发明申请公开(公告)号：US20230123327A1
公开(公告)日：2023-04-20
申请号：US18068149
申请日：2022-12-19
Inventor： Chengquan Zhang , Pengyuan Lv , Kun Yao , Junyu Han , Jingtuo Liu
Abstract: A method for recognizing text includes: obtaining an image sequence feature of an image to be recognized; obtaining a full text string of the image to be recognized by decoding the image sequence feature; obtaining a text sequence feature by performing a semantic enhancement process on the full text string, in which the image sequence feature, the full text string and the text sequence feature are of the same length; and determining text content of the image to be recognized based on the full text string and the text sequence feature.
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公开(公告)号：US20230213388A1
公开(公告)日：2023-07-06
申请号：US17998881
申请日：2020-10-14
Inventor： Haocheng Feng , Haixiao Yue , Keyao Wang , Gang Zhang , Yanwen Fan , Xiyu Yu , Junyu Han , Jingtuo Liu , Errui Ding , Haifeng Wang
IPC: G01J5/00
CPC classification number: G01J5/0025 , G01J2005/0077
Abstract: A method and an apparatus for measuring temperature, and a computer-readable storage medium includes detecting a target position of an object in an input image; determining key points of the target position and weight information of each key point based on a detection result of the target position, in which the weight information is configured to indicate a probability of each key point being covered; acquiring temperature information of each key point; and determining a temperature of the target position at least based on the temperature information and the weight information of each key point.
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公开(公告)号：US20220148324A1
公开(公告)日：2022-05-12
申请号：US17581047
申请日：2022-01-21
Inventor： Xiameng QIN , Yulin Li , Ju Huang , Qunyi Xie , Chengquan Zhang , Kun Yao , Jingtuo Liu , Junyu Han
IPC: G06V30/18 , G06V30/24 , G06V30/148 , G06V30/19
Abstract: Provided are a method and apparatus for extracting information about a negotiable instrument, an electronic device and a storage medium. The method includes inputting a to-be-recognized negotiable instrument into a pretrained deep learning network and obtaining a visual image corresponding to the to-be-recognized negotiable instrument through the deep learning network;
matching the visual image corresponding to the to-be-recognized negotiable instrument with a visual image corresponding to each negotiable-instrument template in a preconstructed base template library; and in response to the visual image corresponding to the to-be-recognized negotiable instrument successfully matching a visual image corresponding to one negotiable-instrument template in the base template library, extracting structured information of the to-be-recognized negotiable instrument by using the negotiable-instrument template.-
公开(公告)号：US12260492B2
公开(公告)日：2025-03-25
申请号：US18099602
申请日：2023-01-20
Inventor： Di Wang , Ruizhi Chen , Chen Zhao , Jingtuo Liu , Errui Ding , Tian Wu , Haifeng Wang
Abstract: A method for training a three-dimensional face reconstruction model includes inputting an acquired sample face image into a three-dimensional face reconstruction model to obtain a coordinate transformation parameter and a face parameter of the sample face image; determining the three-dimensional stylized face image of the sample face image according to the face parameter of the sample face image and the acquired stylized face map of the sample face image; transforming the three-dimensional stylized face image of the sample face image into a camera coordinate system based on the coordinate transformation parameter, and rendering the transformed three-dimensional stylized face image to obtain a rendered map; and training the three-dimensional face reconstruction model according to the rendered map and the stylized face map of the sample face image.
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