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公开(公告)号：US20210209343A1
公开(公告)日：2021-07-08
申请号：US17208568
申请日：2021-03-22
Inventor： Zhizhi Guo , Yipeng Sun , Jingtuo Liu , Junyu Han
Abstract: The present application discloses an image recognition method, apparatus, device, and a computer storage medium, which is related to a technical field of artificial intelligence, and in particular, to a technical field of image processing. The method includes: performing organ recognition on a human face image and marking positions of the human facial five sense organs in the human face image, obtaining a marked human face image; inputting the marked human face image into a backbone network model and performing feature extraction, obtaining defect features of the marked human face image outputted by different convolutional neural network levels of the backbone network model; and fusing the defect features of different levels that are located in a same area of the human face image, obtaining a defect recognition result of the human face image.
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公开(公告)号：US11881044B2
公开(公告)日：2024-01-23
申请号：US17353540
申请日：2021-06-21
Inventor： Chengquan Zhang , Mengyi En , Ju Huang , Qunyi Xie , Xiameng Qin , Kun Yao , Junyu Han , Jingtuo Liu , Errui Ding
IPC: G06V30/414 , G06T7/136 , G06T7/11 , G06F18/213 , G06V30/146 , G06V30/18 , G06V10/764 , G06V10/82 , G06V30/10
CPC classification number: G06V30/414 , G06F18/213 , G06T7/11 , G06T7/136 , G06V10/764 , G06V10/82 , G06V30/147 , G06V30/18057 , G06T2207/30176 , G06V30/10
Abstract: A method and apparatus for processing an image, a device and a storage medium are provided. An implementation of the method includes: acquiring a template image, the template image including at least one region of interest; determining a first feature map corresponding to each region of interest in the template image; acquiring a target image; determining a second feature map of the target image; and determining at least one region of interest in the target image according to the first feature map and the second feature map.
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公开(公告)号：US11854246B2
公开(公告)日：2023-12-26
申请号：US17201733
申请日：2021-03-15
Inventor： Yulin Li , Ju Huang , Xiameng Qin , Junyu Han
IPC: G06N3/08 , G06V30/413 , G06V30/414 , G06N3/047 , G06V10/82 , G06V30/18 , G06V30/19 , G06V30/412 , G06V30/16 , G06V30/10
CPC classification number: G06V10/82 , G06N3/047 , G06N3/08 , G06V30/18057 , G06V30/19173 , G06V30/412 , G06V30/413 , G06V30/414 , G06V30/10 , G06V30/1607
Abstract: A method, apparatus, device and storage medium for recognizing a bill image may include: performing text detection on a bill image, and determining an attribute information set and a relationship information set of each text box of at least two text boxes in the bill image; determining a type of the text box and an associated text box that has a structural relationship with the text box based on the attribute information set and the relationship information set of the text box; and extracting structured bill data of the bill image, based on the type of the text box and the associated text box that has the structural relationship with the text box.
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公开(公告)号：US11756332B2
公开(公告)日：2023-09-12
申请号：US17208568
申请日：2021-03-22
Inventor： Zhizhi Guo , Yipeng Sun , Jingtuo Liu , Junyu Han
IPC: G06V40/10 , G06V40/16 , G06N3/08 , G06F18/10 , G06F18/20 , G06N3/045 , G06V10/764 , G06V10/80 , G06V10/82
CPC classification number: G06V40/171 , G06F18/10 , G06F18/29 , G06N3/045 , G06N3/08 , G06V10/764 , G06V10/806 , G06V10/82
Abstract: The present application discloses an image recognition method, apparatus, device, and a computer storage medium, which is related to a technical field of artificial intelligence, and in particular, to a technical field of image processing. The method includes: performing organ recognition on a human face image and marking positions of the human facial five sense organs in the human face image, obtaining a marked human face image; inputting the marked human face image into a backbone network model and performing feature extraction, obtaining defect features of the marked human face image outputted by different convolutional neural network levels of the backbone network model; and fusing the defect features of different levels that are located in a same area of the human face image, obtaining a defect recognition result of the human face image.
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公开(公告)号：US20200327384A1
公开(公告)日：2020-10-15
申请号：US16710528
申请日：2019-12-11
Inventor： Chengquan Zhang , Zuming Huang , Mengyi En , Junyu Han , Errui Ding
Abstract: Embodiments of the present disclosure provide a method and apparatus for detecting text regions in an image, a device, and a medium. The method may include: detecting, based on feature representation of an image, a first text region in the image, where the first text region covers a text in the image, a region occupied by the text being of a certain shape; determining, based on a feature block of the first text region, text geometry information associated with the text, where the text geometry information includes a text centerline of the text and distance information of the centerline from the upper and lower borders of the text; and adjusting, based on the text geometry information associated with the text, the first text region to a second text region, where the second text region also covers the text and is smaller than the first text region.
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Patent Agency Ranking
公开(公告)号：US11908219B2
公开(公告)日：2024-02-20
申请号：US17244291
申请日：2021-04-29
Inventor： Zihan Ni , Yipeng Sun , Kun Yao , Junyu Han , Errui Ding , Jingtuo Liu , Haifeng Wang
IPC: G06V30/413 , G06F40/30 , G06V30/414 , G06V10/70
CPC classification number: G06V30/413 , G06F40/30 , G06V10/70 , G06V30/414
Abstract: The disclosure provides a method and a device for processing information, an electronic device, and a storage medium, belonging to a field of artificial intelligence including computer vision, deep learning, and natural language processing. In the method, the computing device recognizes multiple text items in the image. The computing device classifies multiple text items into a first set of name text items and a second set of content text items based on semantics of the text items. The computing device performs a matching operation between the first set and the second set based on a layout of the text items in the image, and determines matched name-content text items. The matched name-content text items include a name text item in the first set and a content text item matching the name text item and in the second set. The computing device outputs the matched name-content text items.
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公开(公告)号：US11783565B2
公开(公告)日：2023-10-10
申请号：US17241191
申请日：2021-04-27
Inventor： Yuexiang Hu , Renyi Zhou , Junyu Han
CPC classification number: G06V10/443 , G06F16/5866 , G06V20/46 , G06V40/166 , G06V40/169 , G06V40/172
Abstract: An image processing method, an electronic device and a readable storage medium, which relate to the technical field of computer vision, are disclosed. In an embodiment, a face recognition module and a service processing module maintains respectively an image buffer queue; the face recognition module maintains a face image buffer queue of face images, and the service processing module maintains a background image buffer queue of background images, i.e., first images; since the face recognition module only maintains the face image buffer queue, only a determined optimal face image, i.e., a face image to be matched, is transmitted to the service processing module, and then, the service processing module determines a background image matched with the optimal face image transmitted by the face recognition module from the maintained background image buffer queue, thus performing image recognition and image matching on a face appearing in a video source.
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公开(公告)号：US20210334540A1
公开(公告)日：2021-10-28
申请号：US17370665
申请日：2021-07-08
Inventor： Yanlong Zhang , Mian Peng , Zuncheng Yang , Junyu Han , Jingtuo Liu
Abstract: A vehicle loss assessment method executed by a mobile terminal, a device, a mobile terminal, a medium and a computer program product are provided. The implementation solution includes: acquiring at least one input image; detecting vehicle identification information in the at least one input image; detecting vehicle damage information in the at least one input image; and determining a vehicle loss assessment result on the basis of the vehicle identification information and the vehicle damage information.
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公开(公告)号：US20210271870A1
公开(公告)日：2021-09-02
申请号：US17244291
申请日：2021-04-29
Inventor： Zihan Ni , Yipeng Sun , Kun Yao , Junyu Han , Errui Ding , Jingtuo Liu , Haifeng Wang
Abstract: The disclosure provides a method and a device for processing information, an electronic device, and a storage medium, belonging to a field of artificial intelligence including computer vision, deep learning, and natural language processing. In the method, the computing device recognizes multiple text items in the image. The computing device classifies multiple text items into a first set of name text items and a second set of content text items based on semantics of the text items. The computing device performs a matching operation between the first set and the second set based on a layout of the text items in the image, and determines matched name-content text items. The matched name-content text items include a name text item in the first set and a content text item matching the name text item and in the second set. The computing device outputs the matched name-content text items.
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公开(公告)号：US20210209344A1
公开(公告)日：2021-07-08
申请号：US17208611
申请日：2021-03-22
Inventor： Zhizhi Guo , Yipeng Sun , Jingtuo Liu , Junyu Han
Abstract: An image recognition method is provided, which is related to a technical field of artificial intelligence, and in particular, to a technical field of image processing. An implementation includes: performing five-sense-organ recognition on a preprocessed human face image and marking positions of the human facial five sense organs in the human face image, to obtain the marked human face image; determining human face images at multiple scales of the marked human face image, inputting the human face images of multiple scales into a backbone network model, and performing feature extraction, to obtain a wrinkle feature of the human face image at each of the multiple scales; and fusing the wrinkle feature at each scale that is located in a same area of the human face image, to obtain a wrinkle recognition result of the human face image
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