Multi-video real-time panoramic fusion splicing method based on CUDA

Abstract

The invention discloses a multi-video real-time panoramic fusion splicing method based on a CUDA. The splicing method includes the step of system initialization and the step of real-time video frame fusion, wherein the step of system initialization is executed at the CPU end of the CUDA, and the step of real-time video frame fusion is executed at the GPU end; according to CUDA-based stream processing modes S21, S22, S23 and S24, four concurrent processed execution streams are set up at the GPU end, and S21, S22, S23 and S24 are deployed to corresponding stream processing sequences. Compared with the prior art, the multi-video and real-time panoramic fusion splicing method has the following advantages that multi-video real-time panoramic videos without ghost images or color brightness difference are achieved, the ultrahigh-resolution overall monitoring effect on large-scale scenes such as an airport, a garden and a square is remarkable, and the application prospect is wide.

Description

technical field [0001] The invention relates to the fields of graphics and image processing and computer vision, in particular to a CUDA-based real-time panorama fusion stitching method for multiple videos. Background technique [0002] The purpose of panoramic video stitching technology is to splicing and fusing real-time video information captured by cameras scattered at different points in the scene into a panoramic real-time video. Some video image acquisition devices, such as fisheye cameras, can contain almost 360-degree panoramic scene information, but the image resolution is limited and the texture details are not rich enough; although some high-definition network cameras can capture images with a resolution of up to tens of millions of pixels, However, limited by the viewing angle of the camera, the accommodated view is smaller. The purpose of panoramic video stitching is to meet the needs of panoramic perspective and high-definition scene information at the same t...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a multi-video real-time panoramic fusion stitching method based on CUDA, which aims to solve the ghost image and image dislocation phenomenon that occur after splicing and fusion of overlapping areas between adjacent video frame images in the traditional algorithm, and finally generate a ghost-free Real-time panoramic video of shadow and color brightness differences

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