4 results about "Opengl es" patented technology

The application discloses a character rendering method based on a hierarchical interpolation algorithm, comprising the following steps: first, determining a character information data structure; second, determining hierarchical font sizes and linear relationships; third, analyzing a TrueType file to generate a corresponding character information data structure; fourth, firstly, selecting the nearest hierarchical font size according to the font size of the rendered character, secondly, calculating the character measurement information of the font size according to the linear relationship and the hierarchical font size determined in the second step, and thirdly, performing corresponding scaling on the glyph through the glyph of the hierarchical font size mi; finally, using the texture linear interpolation of a graphic API such as OpenGL / OpenGL ES / DirectX / Metal / Vulkan of a GPU to finally render the glyph of the font size. The application can guarantee high rendering performance and quality, and reduce the occupation of storage space.

This application discloses a model parsing method and related apparatus adapted to OpenGL ES. The model parsing method optimizes the sorting method of data parsing and reorganization during Obj model conversion, thereby obtaining vertex models that meet the requirements of glDrawElements. In this process, redundant and repeated vertex data in the model data can be filtered out, reducing the size of the generated model data after parsing, saving flash space, and also improving performance and reducing the load on bus bandwidth.

The invention discloses a mobile terminal side image definition optimization method and system, and relates to the technical field of image super-resolution. The method is an LPSR algorithm based on structure perception and perception enhancement, and comprises the following steps: constructing a Lanczos windowing sinc kernel function sub-pixel interpolation model; carrying out main direction and edge amplitude modeling based on Sobel gradient; hybrid weighted reconstruction is carried out in a main direction and a Cartesian coordinate system; adaptive enhancement of edge perception is realized based on a Laplacian high-pass filter; and improving the contrast feeling of intermediate-frequency details based on a Sigmoid function. In the aspect of system deployment, the GPU parallel rendering acceleration method based on the OpenGL ES is provided and comprises the steps of input buffer analysis, EGL initialization, texture construction, shader compiling and linking, fragment shader algorithm execution and rendering output. According to the method, efficient and real-time image definition optimization is realized at the mobile terminal, the reconstruction quality of edge, texture and intermediate frequency information is effectively improved, and the method is suitable for lightweight deployment and low-delay rendering scenes.

The invention provides an edge intelligent video processing method based on a set-top box, and relates to the technical field of image processing, a YOLOv8n model is deployed in the set-top box, the set-top box obtains a video stream from a network camera, decodes the video stream, extracts an original image frame, and calculates an image change ratio based on a pixel difference between adjacent frames of the original image; and determining a target detection image frame sent to the YOLOv8n model based on the image change ratio, performing target detection on the received target detection image frame by the YOLOv8n model, drawing the output of the YOLOv8n model as a graphic layer on an original video frame by using OpenGL ES, and displaying the graphic layer on a television screen in real time through a video output interface, so that the video detection efficiency is improved. The deployed YOLOv8n model is utilized to process the video stream locally, so that the cost is saved, the problem that the existing analysis and processing of the video stream are deployed locally and the cost is relatively high is solved, and the method is suitable for home deployment and small shop deployment.