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公开(公告)号：US10565517B2
公开(公告)日：2020-02-18
申请号：US14744708
申请日：2015-06-19
发明人： Wei Shan Dong , Peng Gao , Guo Qiang Hu , Chang Sheng Li , Xu Liang Li , Chun Yang Ma , Zhi Wang , Xin Zhang
摘要： A mechanism is provided in a data processing system for distributed tree learning. A source processing instance distributes data record instances to a plurality of model update processing items. The plurality of model update processing items determine candidate leaf splitting actions in a decision tree in parallel based on the data record instances. The plurality of model update processing items send the candidate leaf splitting actions to a plurality of conflict resolve processing items. The plurality of conflict resolve processing items identifies conflict leaf splitting actions. The plurality of conflict resolve processing items applies tree structure changes to the decision tree in the plurality of model update processing items.
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公开(公告)号：US10203218B2
公开(公告)日：2019-02-12
申请号：US15444936
申请日：2017-02-28
发明人： Wei Shan Dong , Ning Duan , Guo Qiang Hu , Ting Yuan , Jun Zhu
摘要： A method according to the present invention includes predicting a vehicular route. GPS data of a vehicle's position on a road network is received. A digital map representing the road network is received. The digital map includes a plurality of partitioned regions. Each of the partitioned regions includes a plurality of geographic nodes. A starting node is selected. At least one partitioned region is selected based on a predetermined travel-time horizon of the vehicle from the starting node. Route simulation is performed between the plurality of geographic nodes of the selected at least one partitioned region and a plurality of potential future routes is generated. An actual route of the vehicle is detected. The actual route of the vehicle is compared with the plurality of potential future routes. A probability of the vehicle traveling along each potential future route is determined. A future route of the vehicle is predicted.
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公开(公告)号：US09835930B2
公开(公告)日：2017-12-05
申请号：US14894783
申请日：2014-04-11
发明人： Guo Qiang Hu , Qi Cheng Li , Yi Min Wang , Fang Quan Xie , Bo Yang , Zi Yu Zhu
IPC分类号： G09G5/00 , G02F1/29 , G02F1/133 , G06F3/01 , G06F3/0482 , G06F3/0484 , G09G3/36
CPC分类号： G02F1/29 , G02F1/13306 , G02F2001/294 , G06F3/012 , G06F3/013 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G09G3/36 , G09G2320/08 , G09G2354/00
摘要： An auto focus device comprises a focus panel and a focus controller. The focus panel comprises liquid crystal between a first light-transmissive conductive film and a second light-transmissive conductive film, and the focus controller is configured to apply a voltage between the two light-transmissive conductive films at the position of at least one pixel, so that the liquid crystal at the position will have an expected focal length. An auto focus method comprises: acquiring information on eyesight status of a user; acquiring information on posture of the user; calculating expected focal length of the liquid crystal between the two light-transmissive conductive films at the position of at least one pixel according to the acquired user information; selecting a voltage to be applied between the two light-transmissive conductive films at the position according to the expected focal length; and applying the voltage between the two light-transmissive conductive films at the position.
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公开(公告)号：US20160109781A1
公开(公告)日：2016-04-21
申请号：US14894783
申请日：2014-04-11
发明人： Guo Qiang Hu , Qi Cheng Li , Yi Min Wang , Fang Quan Xie , Bo Yang , Zi Yu Zhu
IPC分类号： G02F1/29 , G06F3/0482 , G06F3/0484 , G09G3/36 , G06F3/01
CPC分类号： G02F1/29 , G02F1/13306 , G02F2001/294 , G06F3/012 , G06F3/013 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G09G3/36 , G09G2320/08 , G09G2354/00
摘要： An auto focus device comprises a focus panel and a focus controller. The focus panel comprises liquid crystal between a first light-transmissive conductive film and a second light-transmissive conductive film, and the focus controller is configured to apply a voltage between the two light-transmissive conductive films at the position of at least one pixel, so that the liquid crystal at the position will have an expected focal length. An auto focus method comprises: acquiring information on eyesight status of a user; acquiring information on posture of the user; calculating expected focal length of the liquid crystal between the two light-transmissive conductive films at the position of at least one pixel according to the acquired user information; selecting a voltage to be applied between the two light-transmissive conductive films at the position according to the expected focal length; and applying the voltage between the two light-transmissive conductive films at the position.
摘要翻译： 自动聚焦装置包括聚焦面板和聚焦控制器。 焦点面板包括在第一透光导电膜和第二透光导电膜之间的液晶，并且焦点控制器被配置为在至少一个像素的位置处在两个透光导电膜之间施加电压， 使得位置处的液晶将具有预期的焦距。 自动聚焦方法包括：获取用户的视力状态的信息; 获取关于用户姿势的信息; 根据获取的用户信息计算在至少一个像素的位置处的两个透光导电膜之间的液晶的预期焦距; 根据预期焦距选择在该位置处的两个透光导电膜之间施加的电压; 以及在该位置处在两个透光导电膜之间施加电压。
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公开(公告)号：US11158042B2
公开(公告)日：2021-10-26
申请号：US16507498
申请日：2019-07-10
发明人： Jing Chang Huang , Guo Qiang Hu , Peng Ji , Jun Zhu , Yuan Yuan Ding
IPC分类号： G06T7/00
摘要： Embodiments of the present disclosure relate to object defect detection. In an embodiment, a computer-implemented method is disclosed. According to the method, for a test image of at least one part of a target object, a reference image is generated by repeating a periodic pattern detected in the test image, the target object consisting of elements. A differential image is determined by comparing the test image and the reference image. The differential image is superimposed on a predefined grid image to obtain a superimposed image. The grid image comprises grids corresponding to elements of a reference object associated with the target object. The number of defective elements is determined in the at least one part of the target object based on the superimposed image. In other embodiments, a system and a computer program product are disclosed.
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公开(公告)号：US11144578B2
公开(公告)日：2021-10-12
申请号：US14925491
申请日：2015-10-28
发明人： Ning Duan , Guo Qiang Hu , Peng Ji , Xiao Bo Li , Zhi Hu Wang
摘要： A system, method and computer program product for retrieving trajectory data from huge datasets. In the method, there is received, at a processor device, a user query including a request for displaying trajectory data at a user device. From the user query, a query type and a current map visualization scale setting (mapscale) for visualizing the trajectory data on the user device display is determined. Then, responsive to a user query type and the determined mapscale setting, a corresponding reference level is selected. Based on the selected reference level, there is accessed from a memory storage device a data set of compressed trajectory data. This compressed trajectory data set is communicated to the user device, for presentation on the user device display. In one aspect, the system and method is adaptive, enabling storage and retrieval of trajectory data according to various degrees of visualization or granularity.
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公开(公告)号：US20210304389A1
公开(公告)日：2021-09-30
申请号：US16835785
申请日：2020-03-31
发明人： Jinfeng Li , Guo Qiang Hu , Jian Xu , Fan Li , JingChang Huang , Jun Zhu
摘要： According to embodiments of the present invention, a method, a device and a computer program product for image processing is provided. A computing device obtains an image of a first object, the image presenting a defect of the first object. A computing device obtains defect distribution information indicating respective frequencies of a plurality of predetermined categories of defects presented at corresponding locations in a plurality of training images, the plurality of training images presenting second objects and being used for training a defect classifier. A computing device determines a target category of the defect of the first object by applying the image and the defect distribution information to the defect classifier. A computing device generates one or more correction notifications.
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公开(公告)号：US11069130B2
公开(公告)日：2021-07-20
申请号：US13691033
申请日：2012-11-30
发明人： Hao Chen , Guo Qiang Hu , Qi Cheng Li , Li Jun Mei , Jian Wang , Yi Min Wang , Zi Yu Zhu
摘要： A method and system for generating a three-dimensional (3D) virtual scene are disclosed. The method includes: identifying a two-dimensional (2D) object in a 2D picture and the position of the 2D object in the 2D picture; obtaining the three-dimensional model of the 3D object corresponding to the 2D object; calculating the corresponding position of the 3D object corresponding to the 2D object in the horizontal plane of the 3D scene according to the position of the 2D object in the picture; and simulating the falling of the model of the 3D object onto the 3D scene from a predetermined height above the 3D scene, wherein the position of the landing point the model of the 3D object in the horizontal plane is the corresponding position of the 3D object in the horizontal plane of the 3D scene.
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公开(公告)号：US10957032B2
公开(公告)日：2021-03-23
申请号：US16185348
申请日：2018-11-09
发明人： Guo Qiang Hu , Jun Zhu , Peng Ji , Bo Wen Wei , Zhe Yan , Lei He
摘要： Scheduling automated visual inspection tasks includes capturing an image of a component to be inspected. A visual inspection model is formed with a model engine as a composite model of utility modules and functional modules to perform visual inspection of the image of the component. An abstract processing workflow of the visual inspection model is derived with a scheduler including dependencies between the utility modules and the functional modules. Performance of each of the functional modules is profiled with the scheduler by testing performance with available hardware resources to produce a performance profile. Parallel instances of each of the functional modules in a branch of the abstract processing workflow are scheduled with the scheduler according to the dependencies and the performance profiles. An indication of defects in the component is produced by processing the visual inspection model according to the scheduled functional modules.
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公开(公告)号：US10692220B2
公开(公告)日：2020-06-23
申请号：US15787483
申请日：2017-10-18
发明人： Peng Gao , Guo Qiang Hu , Jing Chang Huang , Jun Chi Yan , Jun Zhu
摘要： Techniques facilitating object classification based on decoupling a background from a foreground of an image are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model that is trained on images that comprise respective backgrounds and respective foregrounds that are interleaved. The model can be trained to detect the respective backgrounds with a defined confidence level. The computer executable components can also comprise an extraction component that employs the model to identify a background of a received image based on the defined confidence level and to decouple a foreground object of the received image based on identification of the background of the received image.
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