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公开(公告)号:US20210334533A1
公开(公告)日:2021-10-28
申请号:US16481542
申请日:2019-01-02
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Tong LIU , Xiangyang LIU , Zhiguo ZHANG , Hui RAO
Abstract: An object identification method and an object identification device, the object identification method comprises: capturing color images and depth images that are aligned; performing motion detection on the captured color images and depth images to acquire a motion start frame and a motion end frame; comparing the motion end frame with the motion start frame in the color images to acquire a set of motion pixels; performing connected component analysis on the acquired set of motion pixels to obtain at least one connected component; and identifying an object in the at least one connected component.
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公开(公告)号:US20210019550A1
公开(公告)日:2021-01-21
申请号:US16905588
申请日:2020-06-18
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Jingtao XU , Jianwen SUO , Xiangyang LIU , Tingting WANG , Shaonan ZHANG , Bo XU
IPC: G06K9/46 , G06K9/62 , G06T5/00 , G06T1/20 , G06F16/583
Abstract: This disclosure provides an image recommendation method, a client, a server, a computer system and a medium. The method includes acquiring an image, sending the acquired image to a server, such that the server extracts a scale invariant feature of the acquired image and performs retrieval of identical images according to the scale invariant feature of the acquired image, and such that the server extracts a multi-scale feature of the acquired image and performs retrieval of similar images according to the multi-scale feature of the acquired image, and receiving at least one recommended image. The at least one recommended image is based on result of the identical image retrieval and result of the similar image retrieval.
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公开(公告)号:US20190303650A1
公开(公告)日:2019-10-03
申请号:US16114907
申请日:2018-08-28
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Tong LIU , Xiangyang LIU , Xiaojun TANG , Zhiguo ZHANG
Abstract: An automatic object recognition method and an automatic object recognition system, a shopping device and a non-transitory computer readable storage medium are disclosed. The automatic object recognition method includes: acquiring a first image and a second image, both the first image and the second image including a same object, and the second image being a depth image; extracting a feature point of the object based on the first image; obtaining a joint feature based on the feature point from the first image and depth information of the second image; and recognizing the object based on the joint feature.
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公开(公告)号:US20190096043A1
公开(公告)日:2019-03-28
申请号:US15939110
申请日:2018-03-28
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Xitong MA , Naifu WU , Xiangyang LIU , Rui SUN , Lihua GENG
Abstract: A head up display includes: a display source configured to project a correction image and a corrected driving information image onto a transflective component; a polarization controller configured to control a polarization direction of light emitted from the display source; a receiver configured to receive a distorted correction image displayed on the transflective component; and a processor connected with the receiver, and configured to compare the distorted correction image received by the receiver with a correction image pre-stored in the processor to obtain a first image distortion, and to correct a driving information image to be displayed according to the first image distortion to obtain the corrected driving information image.
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