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公开(公告)号：US11790641B2
公开(公告)日：2023-10-17
申请号：US16929011
申请日：2020-07-14
发明人： Ruibin Xue , Guangwei Huang , Jibo Zhao , Bingchuan Shi , Yue Li
IPC分类号： G09B7/06 , G06V10/82 , G06V30/19 , G06V30/413 , G06V30/10
CPC分类号： G06V10/82 , G06V30/19147 , G06V30/19173 , G06V30/413 , G09B7/06 , G06V30/10
摘要： The present disclosure provides an answer evaluation method, an answer evaluation system, an electronic device, and a medium. The method comprises: acquiring an answer image, for a test paper answered by a use; classifying the answer image based on a pre-trained test question classification model, so as to obtain an objective question answer area and a subjective question answer area; identifying at least one objective question in the objective question answer area and an objective question answers for each of the at least one objective question; identifying at least one subjective question in the subjective question answer area and a subjective question answers for each of the at least one subjective question; and determining a total score value of the test paper based on the objective question, the objective question answer, the subjective question and the subjective question answer.
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22.发明授权公开(公告)号：US11169614B2
公开(公告)日：2021-11-09
申请号：US16492104
申请日：2018-10-19
摘要： A gesture detection method, a gesture processing device, and a computer readable storage medium. The gesture detection method includes: performing a shrinking process and a background modeling on a first frame of original image, to generate a first frame of background image; determining a motion region of the first frame of background image based on the first frame of background image; determining a first gesture detection area in the first frame of original image according to the motion region of the first frame of background image; and performing a gesture detection within the first gesture detection area.
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公开(公告)号：US11055535B2
公开(公告)日：2021-07-06
申请号：US16542209
申请日：2019-08-15
发明人： Honghong Jia , Jibo Zhao
摘要： A method for video classification includes: extracting an original image and an optical flow image corresponding to a to-be-classified video from the to-be-classified video; inputting the original image to a space-domain convolutional neural network model to obtain a space-domain classification result corresponding to the to-be-classified video; inputting the optical flow image to a time-domain convolutional neural network model to obtain a time-domain classification result corresponding to the to-be-categorized video, wherein the time-domain convolutional neural network model and the space-domain convolutional neural network model are convolutional neural network models of different network architectures; and merging the space-domain classification result and the time-domain classification result to obtain a classification result corresponding to the to-be-classified video.
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24.发明授权公开(公告)号：US11055520B2
公开(公告)日：2021-07-06
申请号：US16445663
申请日：2019-06-19
发明人： Jibo Zhao
摘要： A gesture recognition method includes determining a palm connected domain based on an acquired depth image. The method includes determining a tracking frame corresponding to the palm connected domain. The method includes recognizing a gesture within a region of a to-be-recognized image corresponding to the tracking frame, based on a location of the tracking frame. In this arrangement, a palm connected domain and a tracking frame corresponding to the palm connected domain are acquired, and a gesture is recognized within a region of a to-be-recognized image corresponding to the tracking frame.
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公开(公告)号：US10319104B2
公开(公告)日：2019-06-11
申请号：US15525703
申请日：2016-06-08
发明人： Jibo Zhao , Yingjie Li
摘要： A method and a system for determining a datum plane are disclosed. The method for determining a datum plane includes: acquiring a depth image; performing edge extraction on the depth image to form an edge image, the edge image including a plurality of planar graphs; and selecting from the planar graphs in the edge image to determine the datum plane. The technical solutions provided by the disclosure can easily match the virtual object with the real scene in real time, and improve users' sensory experience beyond reality.
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公开(公告)号：US10311295B2
公开(公告)日：2019-06-04
申请号：US15553710
申请日：2017-03-17
发明人： Xiaojun Tang , Jibo Zhao
摘要： A heuristic finger detection method based on a depth image is disclosed. The method includes the steps of: acquiring a hand connected region from a user's depth image; calculating the central point of the hand connected region; calculating a plurality of extremely far points in the hand connected region that have extremum 3D geodesic distances from the central point; detecting fingertips and finger regions from the plurality of calculated extremely far points; and outputting fingertip positions and the finger regions. The method calculates and detects fingertips of users by means of 3D geodesic distance, without extracting boundary contours of hand regions, which improves robustness of gesture detection and reduces detection error rates. The method has the advantages of higher finger detection accuracy and fast computing speed.
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公开(公告)号：US20180272224A1
公开(公告)日：2018-09-27
申请号：US15788290
申请日：2017-10-19
CPC分类号： A63B71/0605 , A42B3/04 , A42B3/042 , A63B69/0002 , A63B71/0622 , A63B2071/0666 , A63B2220/806 , G02B27/017 , G02B27/0172 , G02B2027/0138 , G02B2027/014 , G02B2027/0141 , G06K9/00355 , G06K9/00664 , G06K9/00671 , G06K9/46 , G06T7/73 , G06T19/006 , G06T2207/10028 , G06T2207/30221 , G06T2210/62
摘要： An intelligent baseball device, an intelligent baseball helmet and a method for assisting in judging a strike are provided. The intelligent baseball device includes a depth camera, a display device and a processing unit. The depth camera is communicated with the processing unit; and the processing unit is configured to extract feature information of a home plate and feature information of a batter from a depth image acquired by the depth camera and create a real-time strike zone 3D model. The display device is communicated with the processing unit; the processing unit is configured to send a display signal of a real-time strike zone 3D model to the display device; and the display device displays the real-time strike zone 3D model according to the display signal of the real-time strike zone 3D model.
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公开(公告)号：US09704251B2
公开(公告)日：2017-07-11
申请号：US14778028
申请日：2015-03-25
发明人： Jibo Zhao
CPC分类号： G06T7/70 , G06K9/00335 , G06K9/00362 , G06T7/11 , G06T2207/10016 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196 , G06T2207/30241
摘要： The present disclosure provides a depth determination method, a depth determination device and an electronic device. The depth determination method includes steps of: acquiring a color image and a depth image from a camera; performing image identification based on the color image, and determining a first image region of the color image where a feature object is recorded; determining a second image region of the depth image corresponding to the first image region in accordance with a correspondence between pixels of the color image and the depth image; and determining a feature depth of the feature object based on depth information corresponding to the pixels at the second image region.
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