-
公开(公告)号：US20220261146A1
公开(公告)日：2022-08-18
申请号：US17626683
申请日：2021-03-12
Applicant: BOE Technology Group Co., Ltd.
Inventor： Rui Zheng , Fengshuo Hu , Honghong Jia
IPC: G06F3/04883
Abstract: A handwriting forming method, a handwriting forming apparatus, and an electronic device are provided. The method includes: determining a group of plurality of trajectory points according to a plurality of sampling points on a writing path on a working surface of a touch device, and obtaining trajectory information of each of the plurality of trajectory points, and the trajectory information including a coordinate, a flag bit and a pressure value; establishing a plurality of trajectory units in a raindrop shape corresponding to the plurality of trajectory points based on the trajectory information; determining a connection mode between trajectory units corresponding to adjacent trajectory points based on the trajectory information; and calculating connection points of the trajectory units according to the connection mode, and filling a polygon formed by the connection points of the trajectory units corresponding to the adjacent trajectory points, so as to form a handwriting for displaying.
-
公开(公告)号：US11900563B2
公开(公告)日：2024-02-13
申请号：US17261541
申请日：2020-04-01
Applicant: BOE Technology Group Co., Ltd.
Inventor： Guannan Chen , Jingru Wang , Lijie Zhang , Fengshuo Hu
CPC classification number: G06T3/4053 , G06N3/08 , G06T3/4046
Abstract: A computer-implemented method is provided. The computer-implemented method includes inputting a low-resolution image into a generator; and generating a high-resolution image using the generator based on the low-resolution image. Generating the high-resolution image includes processing the low-resolution image through a plurality of super-resolution generating units arranged in series in the generator. A respective output from a respective one of the plurality of super-resolution generating units has a respective increased image resolution as compared to a respective input to the respective one of the plurality of super-resolution generating units.
-
公开(公告)号：US11803585B2
公开(公告)日：2023-10-31
申请号：US16975631
申请日：2019-09-27
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Fengshuo Hu , Honghong Jia
IPC: G06F16/583 , G06F16/532 , G06V10/20 , G06V40/10
CPC classification number: G06F16/5854 , G06F16/532 , G06V10/255 , G06V40/103
Abstract: Embodiments of the present disclosure provide a method and an apparatus for searching for an image and a related storage medium. The method includes obtaining reference keypoint data of a reference person in a reference image, and searching, based on the reference keypoint data, a set of candidate images for at least one target image containing at least one candidate person that has a pose similar to the reference person.
-
公开(公告)号：US20220108425A1
公开(公告)日：2022-04-07
申请号：US17261541
申请日：2020-04-01
Applicant: BOE Technology Group Co., Ltd.
Inventor： Guannan Chen , Jingru Wang , Lijie Zhang , Fengshuo Hu
Abstract: A computer-implemented method is provided. The computer-implemented method includes inputting a low-resolution image into a generator, and generating a high-resolution image using the generator based on the low-resolution image. Generating the high-resolution image includes processing the low-resolution image through a plurality of super-resolution generating units arranged in series in the generator. A respective output from a respective one of the plurality of super-resolution generating units has a respective increased image resolution as compared to a respective input to the respective one of the plurality of super-resolution generating units.
-
5.发明授权公开(公告)号：US12002254B2
公开(公告)日：2024-06-04
申请号：US17613442
申请日：2021-02-26
Applicant: BOE Technology Group Co., Ltd.
Inventor： Jingru Wang , Fengshuo Hu
IPC: G06V10/56 , G06T7/90 , G06V10/774 , G06V10/82
CPC classification number: G06V10/56 , G06T7/90 , G06V10/774 , G06V10/82
Abstract: A method of training an object detection network, an object detection method and related apparatuses are provided. The training method includes: inputting a training image into a to-be-trained object detection network to obtain detection information of a target object, where the detection information includes a detection class of the target object, a detection position of a detection box of the target object, and a detection position of a landmark of the target object; calculating a total loss function of the to-be-trained object detection network, where the total loss function is calculated according to a loss function of the detection class of the target object, a loss function of the detection position of the detection box of the target object, and a loss function of the detection position of the landmark of the target object; and adjusting a parameter of the to-be-trained object detection network according to the total loss function.
-
Patent Agency Ranking
公开(公告)号：US20240020893A1
公开(公告)日：2024-01-18
申请号：US18474773
申请日：2023-09-26
Applicant: BOE Technology Group Co., Ltd.
Inventor： Rui Zheng , Fengshuo Hu , Honghong Jia
IPC: G06T11/20 , G06F3/04883 , G06T5/00 , G06T11/40
CPC classification number: G06T11/203 , G06F3/04883 , G06T5/002 , G06T11/40 , G06T2207/20192
Abstract: A handwriting forming method, a handwriting forming apparatus, and an electronic device are provided. The method includes: determining a group of plurality of trajectory points and obtaining trajectory information of each of the plurality of trajectory points, the trajectory information including a pressure value; establishing a plurality of trajectory units corresponding to the plurality of trajectory points in one-to-one correspondence based on the trajectory information; and connecting the plurality of trajectory units to form a handwriting for displaying. A size of each trajectory unit is determined based on a pressure sensing amount corresponding to the trajectory unit, and the pressure sensing amount is obtained based on the pressure value of a corresponding trajectory point. In the case where the pressure value is less than a first threshold, the pressure sensing amount is a first constant regardless of whether the pressure value of the corresponding trajectory point changes.
-
公开(公告)号：US11836839B2
公开(公告)日：2023-12-05
申请号：US17620596
申请日：2021-02-09
Applicant: BOE Technology Group Co., Ltd.
Inventor： Rui Zheng , Fengshuo Hu
CPC classification number: G06T13/40 , G06T7/70 , G06V10/454
Abstract: The present disclosure provides a method for generating an animation figure, a device and a storage medium. The method includes: acquiring an image including at least one target object; acquiring position information about key points of the target object in the image; determining target angle information about lines connecting the key points in accordance with the position information about the key points; and adjusting a predetermined animation figure in accordance with the target angle information. A pose of a target animation figure acquired through adjustment is identical to a pose of the target object in the image, and the target animation figure corresponds to the target object.
-
公开(公告)号：US11721000B2
公开(公告)日：2023-08-08
申请号：US17355938
申请日：2021-06-23
Applicant: BOE Technology Group Co., Ltd.
Inventor： Fengshuo Hu
CPC classification number: G06T5/002 , G06N3/045 , G06N3/088 , G06T3/4046 , G06T3/4053 , G06T5/20 , G06T5/50 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084
Abstract: An image denoising method includes: acquiring a first data set and a second data set, where the first data set includes a plurality of first images without noise, the second data set includes a plurality of second images with real noise, contents of each first image and each second image are different; training, by using the first data set and the second data set, a first network to obtain a noise generation model; inputting the first image into the noise generation model, and outputting a third image with simulated noise; where a plurality of third images forms a third data set; training, by using the first data set and the third data set, an image denoising network to obtain an image denoising model. The image denoising model is configured to convert an original image with noise into an output image without noise.
-
9.发明申请公开(公告)号：US20220277541A1
公开(公告)日：2022-09-01
申请号：US17613442
申请日：2021-02-26
Applicant: BOE Technology Group Co., Ltd.
Inventor： Jingru Wang , Fengshuo Hu
IPC: G06V10/56 , G06V10/774 , G06V10/82 , G06T7/90
Abstract: A method of training an object detection network, an object detection method and related apparatuses are provided. The training method includes: inputting a training image into a to-be-trained object detection network to obtain detection information of a target object, where the detection information includes a detection class of the target object, a detection position of a detection box of the target object, and a detection position of a landmark of the target object; calculating a total loss function of the to-be-trained object detection network, where the total loss function is calculated according to a loss function of the detection class of the target object, a loss function of the detection position of the detection box of the target object, and a loss function of the detection position of the landmark of the target object; and adjusting a parameter of the to-be-trained object detection network according to the total loss function.
-
公开(公告)号：US20210065706A1
公开(公告)日：2021-03-04
申请号：US16840716
申请日：2020-04-06
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Fengshuo Hu
Abstract: The present disclosure provides a photo album management method. The method includes obtaining voice search information from a user, performing intent recognition on the voice search information to obtain an intent recognition result which indicates an intent of the user for a photo album, obtaining a voiceprint feature from the voice search information to determine identity information of the user, sending the intent recognition result and the identity information of the user, and opening the photo album according to the intent recognition result and the identity information.
-
-
-
-
-
-
-
-
-
Search Results
15
records
(took 0.017 seconds)
