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1.发明申请公开(公告)号：US20210312171A1
公开(公告)日：2021-10-07
申请号：US17352767
申请日：2021-06-21
Inventor： Qingyue Meng
Abstract: The human body 3D key point detection method includes: acquiring a to-be-detected image, the to-be-detected image including first human body image data; inputting the to-be-detected image into a key point extraction model to acquire N first 3D heatmaps of N human body 3D key points in the first human body image data, each first 3D heatmap representing a Gaussian distribution of one human body 3D key point in first human body image data in a predetermined space, where N is a positive integer; and determining coordinate information about the N human body 3D key points in the first human body image data based on the N first 3D heatmaps.
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Patent Agency Ranking
公开(公告)号：US11816847B2
公开(公告)日：2023-11-14
申请号：US17193214
申请日：2021-03-05
Inventor： Qingyue Meng , Chen Zhao
IPC: G06V40/20 , G06T7/246 , G06V20/64 , G06F18/214 , G06V40/10 , G06N3/08 , G06V10/774
CPC classification number: G06T7/251 , G06F18/214 , G06N3/08 , G06V10/774 , G06V20/647 , G06V40/103 , G06V40/23 , G06T2207/10024 , G06T2207/20084 , G06T2207/30196
Abstract: A method and apparatus for promoting a motion, an electronic device and a storage medium, relating to the field of image recognition technology are provided. An embodiment of the method may include: acquiring a user motion image, and acquiring three-dimensional recognition coordinates of body key points recognized in the user motion image; determining, based on the three-dimensional recognition coordinates, a user motion matching the user motion image; screening, according to a mapping relationship between user motion and body key points, a target body key point among all of the recognized body key points; acquiring three-dimensional standard coordinates of the target body key point corresponding to the user motion; and prompting a motion based on values of differences between the three-dimensional standard coordinates of the target body key point and the three-dimensional recognition coordinates of the target body key point.
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公开(公告)号：US20210201161A1
公开(公告)日：2021-07-01
申请号：US17204223
申请日：2021-03-17
Inventor： Qingyue Meng , Chen ZHAO
Abstract: A method, an apparatus, an electronic device, and a computer readable storage medium for constructing a key-point learning model are provided. The method includes: acquiring labeled data labeling a human-body key-point and unlabeled data that does not label the human-body key-point; training, using the labeled data, an initial prediction model and an initial discriminator in a supervised training way to obtain a first prediction model and a first discriminator; training, using the unlabeled data, the first prediction model and the first discriminator in an unsupervised training way to obtain a second prediction model and a second discriminator; and constructing a key-point learning model according to the second prediction model and the second discriminator.
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4.发明授权公开(公告)号：US11816915B2
公开(公告)日：2023-11-14
申请号：US17352767
申请日：2021-06-21
Inventor： Qingyue Meng
IPC: G06V40/00 , G06V40/10 , G06T7/70 , G06T5/50 , G06F18/214 , G06V10/764
CPC classification number: G06V40/103 , G06F18/214 , G06T5/50 , G06T7/70 , G06V10/764
Abstract: The human body 3D key point detection method includes: acquiring a to-be-detected image, the to-be-detected image including first human body image data; inputting the to-be-detected image into a key point extraction model to acquire N first 3D heatmaps of N human body 3D key points in the first human body image data, each first 3D heatmap representing a Gaussian distribution of one human body 3D key point in first human body image data in a predetermined space, where N is a positive integer; and determining coordinate information about the N human body 3D key points in the first human body image data based on the N first 3D heatmaps.
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公开(公告)号：US11341718B2
公开(公告)日：2022-05-24
申请号：US17021218
申请日：2020-09-15
Inventor： Qingyue Meng , Chen Zhao
Abstract: A method and apparatus for generating a 3D joint point regression model are provided. An embodiment of the method includes: acquiring a sample image with a 2D label and a sample image with a 3D label; training part of channels of an output layer of a basic 3D joint point regression model, with the sample image with the 2D label as a first input, and with a joint point heat map set corresponding to the 2D label as a first expected output; and training all of the channels of the output layer, with the sample image with the 3D label as a second input, with a joint point heat map set corresponding to the 3D label as a first part output of a second expected output and with a joint point depth information map set corresponding to the 3D label as a second part output of the second expected output.
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公开(公告)号：US20210319213A1
公开(公告)日：2021-10-14
申请号：US17193214
申请日：2021-03-05
Inventor： Qingyue Meng , Chen Zhao
Abstract: A method and apparatus for promoting a motion, an electronic device and a storage medium, relating to the field of image recognition technology are provided. An embodiment of the method may include: acquiring a user motion image, and acquiring three-dimensional recognition coordinates of body key points recognized in the user motion image; determining, based on the three-dimensional recognition coordinates, a user motion matching the user motion image; screening, according to a mapping relationship between user motion and body key points, a target body key point among all of the recognized body key points; acquiring three-dimensional standard coordinates of the target body key point corresponding to the user motion; and prompting a motion based on values of differences between the three-dimensional standard coordinates of the target body key point and the three-dimensional recognition coordinates of the target body key point.
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