Tcl China Star Optoelectronics Technology Co., Ltd.

Tencent Technology (shenzhen) Company Limited

Comp-any Gmbh

Tencent Technology (shenzhen)

Ling Zhao

Hui Ni

Jilin Li

Chengjie Wang

Yabiao Wang

Yandan Zhao

Juncheng Xiao

Feiyue Huang

Yongjian Wu

Shouhong Ding

Shaoxin Li

Yicong Liang

Weimin Chang

The present invention provides an array base plate and a manufacturing method therefor. The array base plate includes a substrate base plate layer, a first trace layer, an insulating layer, and a stress balance layer. The first trace layer includes a first trace. An edge of the stress balance layer is aligned to an edge of the substrate base plate layer. The stress balance layer has a bending stress in a direction opposite to a direction of the first trace and a curvature less than 1.2 mm/m.

Array base plate and manufacturing method therefor

The present disclosure provides a pixel unit, wherein common signal lines connected to shared thin film transistors located in lens areas are constructed as first common signal lines, and common signal lines connected to shared thin film transistors located in lens splicing areas are constructed as second common signal lines. The pixel unit provided by the present disclosure can independently adjust partial voltages of the shared thin film transistors in the lens areas and the lens splicing areas, thereby relieving deterioration of Lens-Mura occurring in the lens splicing areas.

Pixel unit, array substrate, and display panel

When a target image is captured, the device provides a portion of the target image within a target detection region to a preset first model set to calculate positions of face key points and a first confidence value. The face key points and the first confidence value are output by the first model set for a single input of the portion of the first target image into the first model set. When the first confidence value meets a first threshold corresponding to whether the target image is a face image, the device obtains a second target image corresponding to the positions of the first face key points; the device inputs the second target image into the first model set to calculate a second confidence value, the second confidence value corresponds to accuracy key point positioning, and outputs the first key points if the second confidence value meets a second threshold.

Key point positioning method, terminal, and computer storage medium

A facial tracking method is provided. The method includes: obtaining, from a video stream, an image that currently needs to be processed as a current image frame; and obtaining coordinates of facial key points in a previous image frame and a confidence level corresponding to the previous image frame. The method also includes calculating coordinates of facial key points in the current image frame according to the coordinates of the facial key points in the previous image frame when the confidence level is higher than a preset threshold; and performing multi-face recognition on the current image frame according to the coordinates of the facial key points in the current image frame. The method also includes calculating a confidence level of the coordinates of the facial key points in the current image frame, and returning to process a next frame until recognition on all image frames is completed.

Facial tracking method and apparatus, and storage medium

Growing community of inventors

Shenzhen, China

Ling Zhao