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公开(公告)号:US20240037816A1
公开(公告)日:2024-02-01
申请号:US18225060
申请日:2023-07-21
Applicant: NUCTECH COMPANY LIMITED
CPC classification number: G06T11/006 , G06T5/50 , G06T2207/20221 , G06T2207/20084 , G06T2207/20081
Abstract: A method of training an image decomposition model, a method of decomposing an image, an electronic device, and a storage medium are provided. The method of training the image decomposition model includes: acquiring a training set; inputting first and second training images into first and second adversarial neural networks respectively, so as to determine a first loss function value; inputting a third training image into the first and second adversarial neural networks respectively, so as to determine a second loss function value; determining a third loss function value according to a comparison result between an acquired fusion image and the third training image, where the fusion image is generated by fusing generated images of the first and second adversarial neural networks, and adjusting a parameter of the image decomposition model according to at least one of the first to third loss function values.
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公开(公告)号:US20180182126A1
公开(公告)日:2018-06-28
申请号:US15852103
申请日:2017-12-22
Applicant: Nuctech Company Limited
Inventor: Yanwei XU , Zheng HU , Yongming WANG , Chuan GAO , Weifeng YU , Qiang LI , Yuan MA , Jianping GU , Yu HU , Shangmin SUN
CPC classification number: G06T7/74 , G06K9/00771 , G06K9/00791 , G06K9/6262 , G06N3/0472 , G06N3/08 , G06T3/40 , G06T2207/20081 , G06T2207/20084 , G06T2207/30248
Abstract: The present disclosure discloses a method and system for identifying a part of a vehicle and a vehicle inspection system. The method includes: acquiring a vehicle body image sequence of a vehicle to be identified; reconstructing the vehicle body by using a first vehicle body reconstruction model generated through a deep learning algorithm and on the basis of the vehicle body image sequence, so as to acquire a vehicle body reconstruction image of the vehicle to be identified; and identifying a boundary identifier of the vehicle to be identified on the basis of the vehicle body reconstruction image of the vehicle to be identified.
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公开(公告)号:US20170017667A1
公开(公告)日:2017-01-19
申请号:US15282134
申请日:2016-09-30
Applicant: Tsinghua University , Nuctech Company Limited
Inventor: Zhiqiang Chen , Li ZHANG , Ziran ZHAO , Yaohong LIU , Jianping GU , Zheng HU , Qiang LI
CPC classification number: G06F17/30256 , G01N23/04 , G01N2223/401 , G01N2223/631 , G01V5/0016 , G06F17/30274 , G06K9/42 , G06K9/6215 , G06K2209/09 , G06K2209/23 , G06T7/001 , G06T7/337 , G06T2207/10116 , G06T2207/30268
Abstract: A vehicle inspection method and system are disclosed. In one aspect, the method includes acquiring a transmission image of an inspected vehicle. The method further includes acquiring a transmission image template of a vehicle model corresponding to the model of the inspected vehicle from a database. The method further includes performing registration on the transmission image of the inspected vehicle and the transmission image template. The method further includes determining a difference between a transmission image after the registration and a transmission image template after the registration, to obtain a difference area of the transmission image of the vehicle relative to the transmission image template. The method further includes processing the difference area to determine whether the vehicle carries a suspicious object or not. In some embodiments, this solution can avoid the problems of a detection loophole and a poor effect of manually determining an image in a conventional manner, and is important to assist the security inspection for small vehicles.
Abstract translation: 公开了车辆检验方法和系统。 一方面,该方法包括获取被检查车辆的发送图像。 该方法还包括从数据库中获取与被检查车辆的模型相对应的车辆模型的发送图像模板。 该方法还包括对被检查车辆的发送图像和发送图像模板进行登记。 该方法还包括确定注册之后的发送图像与注册后的发送图像模板之间的差异,以获得相对于发送图像模板的车辆的发送图像的差分区域。 该方法还包括处理差异区域以确定车辆是否携带可疑物体。 在一些实施例中,该解决方案可以避免检测漏洞的问题和以常规方式手动确定图像的差的影响,并且对于帮助小型车辆的安全检查是重要的。
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