Beijing Boe Optoelectronics Technology Co., Ltd.

Boe Technology Group Co., Ltd.

Beijing Boe Technology Development Co., Ltd.

Fuqiang Ma

Lili Chen

Hongzhen Xue

Hao Zhang

Jiankang Sun

Minglei Chu

Gang Li

Guixin Yan

Yachong Xue

Yaoyu Lv

Zehua Dong

Shuo Zhang

Zhanshan Ma

Guobing Yin

Xue Dong

Ming Jin Chen

Xi Li

Yali Liu

Chenxi Zhao

Xiangjun Peng

Liyang Cui

A method of simulating volumetric 3D display, includes: acquiring a display variable of a virtual display screen in a volumetric 3D display simulation space, the virtual display screen comprising a plurality of stereo pixels, the display variable comprising a voxel parameter of the plurality of stereo pixels, and the voxel parameter comprising a size in a first direction of the plurality of stereo pixels, a size in a second direction of the plurality of stereo pixels, and a size in a third direction of the plurality of stereo pixels; determining a display state parameter of a first stereo pixel of the plurality of stereo pixels for an object to be displayed according to the display variable; and simulating display of the object to be displayed according to the display state parameter. A computer-readable storage medium and a volumetric 3D display simulation apparatus are further provided.

Method, device, apparatus and computer readable storage medium of simulating volumetric 3D display

A data transmission method, a method of displaying three-dimensional image, a data transmission device and a three-dimensional image display device are provided. The shift register unit includes a device. The data transmission method, comprises: performing a phase decomposition on a preset three-dimensional model to generate a plurality of phase images; acquiring position information and color information of pixels in the plurality of phase images; and sending the position information and the color information of the pixels in the plurality of phase images to a volumetric three-dimensional display device.

Data transmission method, method of displaying three-dimensional image, data transmission device and three-dimensional image display device

A camera calibration plate, a camera calibration method and device, and an image acquisition system are described. The camera calibration plate includes a planar plate body, and a plurality of groups of concentric circles on the planar plate body. The plurality of groups of concentric circles are same and include solid circle center points. The plurality of groups of concentric circles are distributed in an array.

Camera calibration plate, camera calibration method and device, and image acquisition system

An optical distortion measurement method that including receiving target field of view information; processing the target field of view information using a coordinate conversion model to obtain screen coordinates of a target angle of view, wherein the coordinate conversion model may be configured to convert image plane coordinates of the target angle of view to screen coordinates of the target angle of view; and outputting at least the screen coordinates of the target angle of view.

Optical distortion measuring apparatus and optical distortion measuring method, image processing system, electronic apparatus and display apparatus

Provided is a method for compressing texture data of a three-dimensional model, including: acquiring data of polygonal surfaces constituting a contour of a target three-dimensional model, and data of a texture image and a phase plane of the contour; acquiring the texture data of texture points in a texture point group corresponding to each polygonal surface, the texture points in the texture point group including first and second texture points; assigning a weight to each texture point in each texture point group according to the texture data of the first texture points in the texture point group; calculating a sum of weights of each texture point in each texture point group; and compressing the texture data, according to a target compressed data amount, and the texture data and the sum of weights of the texture point whose sum of weights is not zero.

Method for compressing texture data, device for compressing texture data, storage medium, and electronic apparatus

The present disclosure provides a method, apparatus, and measurement device for measuring distortion parameters of a display device, and a computer-readable medium. The display device includes a display screen and a lens located on a light exiting side of the display screen, and the method includes: acquiring a distortion image which is generated by imaging an initial image through the lens, wherein the initial image is an image displayed on the display screen, the initial image comprises a plurality of first corner points, and the distortion image comprises a plurality of second corner points which match the plurality of first corner points respectively; and determining the distortion parameters of the display device according to a locational relationship between the second corner points and a first corner points which match the second corner points.

Method, apparatus and measurement device for measuring distortion parameters of a display device, and computer-readable medium

A camera positioning method, device and medium are provided. The method includes: determining positioning configuration information; determining, according to the positioning configuration information, positioning information of the camera by a preset algorithm, the positioning information including distance limitation data which defines a distance between a target and the camera; and determining a position of the camera according to the positioning information, wherein the positioning configuration information includes target data, ratio data of a target image in an image captured by the camera, and camera parameter data.

Camera positioning method, device and medium

Embodiments of the present disclosure provides an image processing method, comprising: acquiring an initial image comprising an image of pupil; acquiring an accumulative histogram set of grayscale values of pixels in the initial image; determining a threshold for binarizing the initial image according to a grayscale value corresponding to a target region in respective accumulative histograms in the accumulative histogram set, wherein the target region corresponds to the image of pupil in the initial image; and binarizing the initial image according to the threshold. An image processing apparatus and a wearable device are further provided.

Image processing method, image processing apparatus, and wearable device

An image segmentation method, an image segmentation apparatus, an image segmentation device are provided, the image segmentation method including: extracting, from a current frame of a video image, a skeleton two-dimensional estimation and a skeleton three-dimensional estimation of a human three-dimensional skeleton; obtaining a target three-dimensional skeleton based on the skeleton two-dimensional estimation and the skeleton three-dimensional estimation; implementing image segmentation based on the target three-dimensional skeleton; wherein the human three-dimensional skeleton has multiple nodes, and the video image is a two-dimensional image, when calculating the target three-dimensional skeleton in the current frame, by comprehensively considering the skeleton two-dimensional estimation and skeleton three-dimensional skeleton estimation of the human three-dimensional skeleton in the current frame, the accuracy and robustness of the obtained target three-dimensional skeleton can be improved, thereby improving the accuracy of image segmentation.

Image segmentation method, image segmentation apparatus, image segmentation device

The present disclosure relates to a pupil positioning method. The pupil positioning method may include: obtaining an eye image under illumination of a light source; determining a first internal point in a pupil of the eye image; calculating gradient changes of pixel points along a straight line starting from the first internal point toward outside of the pupil; determining a plurality of edge points at an edge of the pupil based on the gradient changes of the pixel points along the straight line; and performing ellipse fitting on the edge points to obtain a pupil center.

Pupil positioning method and apparatus, VR/AR apparatus and computer readable medium

The present application provides a virtual reality interaction method. The virtual reality interaction method includes acquiring a reference pupil image of a user; determining a pupil position in the reference pupil image; determining a gaze point in a virtual image based on the pupil position in the reference pupil image and a mapping relationship between first coordinates in a first coordinate system of the reference pupil image and second coordinates in a second coordinate system of the virtual image; and executing an operation based on a determination that the gaze point is in an activatable region of the virtual image and a determination of a gaze state.

Virtual reality interaction method, virtual reality interaction apparatus, virtual reality display apparatus, and computer-program product

An image processing method and an image processing includes, when a current frame contains a target picture, taking the current frame as a reference frame for tracking and taking a set of matching points in the current frame, which match the target picture as an initial set of tracking points, to perform tracking of the target picture; obtaining a next frame and determining a set of tracking points of the next frame based on the initial set of tracking points; determining whether the number of tracking points in the set of tracking points is less than a first preset threshold; and, when the number of tracking points in the set of tracking points is less than the first preset threshold, determining supplementary tracking points and adding the supplementary tracking points to the set of tracking points.

Image processing method and apparatus

A gaze point compensation method and apparatus in a display device, and a display device are provided. The method includes: obtaining a real-time eye image of a user; obtaining an eye-corner position coordinate in the real-time eye image; when the eye-corner position coordinate is within an initial calibration range, making first compensation for the eye-corner position coordinate according to a correspondence relationship between a pupil and an eye-corner position; otherwise, making second compensation for the eye-corner position coordinate, wherein the second compensation is configured to make the eye-corner position coordinate after the second compensation at least be within the initial calibration range; and compensating for a gaze point according to the first compensation or the second compensation.

Growing community of inventors

Beijing, China

Fuqiang Ma