摘要
在三维场景图像中,像素色度不均匀会影响图像的视觉表现效果,维持像素色度的均匀分布是提升图像视觉表现效果的有效方法。为满足实际应用需求,大幅提升三维场景图像的视觉表现效果,提出一种基于双目视觉的三维场景图像表面重建算法。首先,确定视觉相机的内参、外参标记结果,通过极线校正双目图像的处理方式,完成基于双目视觉的三维场景图像标定;然后,求解像素代价聚合条件,根据像素节点的三维视差推导图像表面的重建表达式,完成基于双目视觉的三维场景图像表面重建算法的设计。实验结果表明,双目视觉技术作用下,三维场景图像的像素色度呈现出较为均匀的分布状态,符合提升图像视觉表现效果的实际应用需求。
The uneven pixel chroma can affect the visual performance of images,especially in 3D scene images.Maintaining the uniform distribution of pixel chroma is an effective method to improve the visual performance of images.In order to meet the needs of practical applications and significantly improve the visual performance of 3D scene images,the surface reconstruction algorithm of 3D scene images based on binocular vision is proposed.The marking results of the internal and external parameters of the visual camera are determined,and the calibration of the 3D scene image based on binocular vision is completed by means of the polar correction of binocular image processing.The pixel cost aggregation condition is solved,and the reconstruction expression of image surface is deriven according to the 3D parallax of pixel nodes,so as to complete the design of 3D scene image surface reconstruction algorithm based on binocular vision.The experimental results show that under the effect of binocular vision technology,the pixel chroma of 3D scene images can present a relatively uniform distribution,which meets the practical application requirements of improving image visual performance.
作者
杨力
YANG Li(Guangzhou Huali College,Guangzhou 511325,China)
出处
《现代电子技术》
北大核心
2024年第4期71-75,共5页
Modern Electronics Technique
基金
2020年广东省质量工程特色专业84号动画特色专业阶段性成果之一。
作者简介
杨力(1983-),女,湖南益阳人,硕士,副教授,研究方向为计算机图像处理、三维图像。
