Tencent Technology (Shenzhen) Company Limited

Orbbec Inc.

Huawei Technologies Co., Limited

Shenzhen Qiaohua Industries Limited

Southern University of Science and Technology

Shenzhen Banq Technology Co,. Ltd

Tencent Technology Company Limited

Peng Yang

Yan Zhang

Lin Ma

Hao Wang

Xiaolong Zhu

Wenhan Luo

Haozhi Huang

Wenhao Jiang

Yu Zhang

Jian Li

Xiao Han

Xianqi Lu

Feilong Zhu

Fuyang Lan

Ting Zou

Yuanhao Huang

Zhenzhong Xiao

Xin Yao

Yong Jun Chen

Fuqing Huang

Yuxiang Wang

Zhaomin Wang

Zhiwang Zhao

Minchang Yang

Baochang Han

Ke Tang

Zhou Jiang

Zhao Min Wang

Wenjian Li

Qihang Chen

Di Xiao

Huangcheng Xu

Guiying Li

A method for correcting interference fringes includes: obtaining correction parameter sets of different photographing distances; obtaining a to-be-corrected image and calculating an average depth value of the to-be-corrected image; selecting a target correction parameter set corresponding to the average depth value from the correction parameter sets of different photographing distances; and correcting first pixel values of to-be-corrected pixels at the different coordinate positions in the to-be-corrected image according to different target correction parameters corresponding to the different coordinate positions in the target correction parameter set, to obtain a corrected image. Each of the correction parameter sets includes different correction parameters corresponding to different coordinate positions. The average depth value includes an average value of depth values corresponding to a plurality of to-be-corrected pixels in the to-be-corrected image.

Interference fringe correction method and under-screen system

A method for correcting interference fringes includes: obtaining interference fringe images with different photographing distances; obtaining a to-be-corrected image including to-be-corrected pixels, and calculating a depth value of each to-be-corrected pixel in the to-be-corrected image; selecting, from the interference fringe images with different photographing distances, an interference fringe image corresponding to the depth value of each to-be-corrected pixel as a target interference fringe image; extracting first pixel values of target coordinate positions in the target interference fringe image; and correcting second pixel values of to-be-corrected pixels according to the first pixel values corresponding to the to-be-corrected pixels to obtain a corrected image.

Image correction method, and under-screen system

A method for accessing a wireless local area network (WLAN) includes a terminal receiving type information of the WLAN and identification information of the WLAN from an access point. The terminal determines a type of the WLAN based on the type information. The terminal sends, to the access point when the terminal determines that the type is a type I, a message requesting to access the WLAN. The message carries a virtual media access control (MAC) address, where the virtual MAC address identifies the terminal, and where the virtual MAC address is different from a device MAC address of the terminal.

Method for accessing wireless local area network and terminal

An optical information detection method includes: acquiring a first image captured by a first imaging device, wherein the first image comprises a target full-field projection pattern; extracting features from the first image to obtain first feature information; acquiring second feature information and first graphic information of a reference full-field projection pattern, wherein the first graphic information comprises zero-order information and/or secondary information; calculating a first mapping relationship between the first feature information and the second feature information; mapping the first graphic information to the target full-field projection pattern according to the first mapping relationship, to obtain second graphic information corresponding to the target full-field projection pattern; and calculating target optical information according to the second graphic information. The above-mentioned method is compatible with cases in which, regardless of whether a zero-order speckle pattern is globally unique or not, optical information can be accurately detected.

Optical information detection method, device and equipment

Smart doorbell

Smart door lock

Embodiments of the present disclosure provide an image processing method based on artificial intelligence (AI) and an image processing system. The method includes: obtaining a feature recognition result of an image by performing image processing on the image to recognize a feature of the image and the image being obtained by performing image acquisition on a section of a patient using a digital slide scanner to generate a whole slide image (WSI) as the image; determining an imaging area of the section within a field of view of an eyepiece of a microscope with which real-time imaging is performed on the section; determining, within the image, an image area corresponding to the imaging area of the section and acquiring, from the feature recognition result of the image, a target feature recognition result of the image area; and superimposing the target feature recognition result on the imaging area of the section.

Image processing method, microscope, image processing system, and medium based on artificial intelligence

A method of logistics management based on QR code, the method includes: acquiring a video stream of a logistics box taken by a camera of a logistics box passing through an identification area, the logistics box having a corresponding QR code affixed to its surface; performing target detection on the video stream based on a predetermined neural network model to obtain a QR code image and a logistics box image, respectively; identifying the QR code image to generate QR code information; detecting and tracking the logistics box images in sequence to generate logistics box information; matching the QR code information and logistics box information, generating matching information, and updating logistics inventory information based on the matching information.

Method, system, server, and storage medium for logistics management based on QR code

A method, apparatus, and storage medium for training a neural network model used for image processing are described. The method includes: obtaining a plurality of video frames; inputting the plurality of video frames through a neural network model so that the neural network model outputs intermediate images; obtaining optical flow information between an early video frame and a later video frame; modifying an intermediate image corresponding to the early video frame according to the optical flow information to obtain an expected-intermediate image; determining a time loss between an intermediate image corresponding to the later video frame and the expected-intermediate image; determining a feature loss between the intermediate images and a target feature image; and training the neural network model according to the time loss and the feature loss, and returning to obtaining a plurality of video frames continue training until the neural network model satisfies a training finishing condition.

Method and apparatus for training neural network model used for image processing, and storage medium

LED deformable lamp

A method, a device, and a system for offloading network traffic are provided, which are applied in the field of mobile communications. An offloading device located before a Serving General Packet Radio Service Support Node (SGSN) receives a data stream of a user sent by a base station, obtains an offloading policy of the user from the offloading device and/or obtains the offloading policy of the user from a policy server, and forwards the data stream according to the offloading policy. Accordingly, the offloading device can obtain the corresponding offloading policy according to the data stream sent by a forwarding plane, send a data stream of low value, low real-time performance requirement, or low priority to the Internet or another specific networks, and send a data stream of high value, high real-time performance requirement, or high priority to high-value devices, thereby reducing the networking cost.

Method, device and system for offloading network traffic

Growing community of inventors

Shenzhen, China

Peng Yang