面向裸眼3D的半全局立体匹配视差优化方法  

Semi-global Stereo Matching Parallax Optimization Method for Naked-eye 3D

作　　者：赖明珠 李剑 刘玉斌[3] LAI Ming-zhu;LI Jian;LIU Yu-bin(School of Mathematics and Statistics, Hainan Normal University, Haikou 570000, China;Hangzhou Hikrobot Technology Co.,Ltd., Hangzhou 310052, China;State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China)

机构地区：[1]海南师范大学数学与统计学院,海口570000 [2]杭州海康机器人技术有限公司,杭州310052 [3]哈尔滨工业大学机器人与系统国家重点实验室,哈尔滨150080

出　　处：《科学技术与工程》2020年第31期12934-12941,共8页Science Technology and Engineering

基　　金：国家自然科学基金地区项目(61961015)。

摘　　要：针对基于双目相机的裸眼3D显示的实时性和真实性问题,研究高精度、高效的双目立体匹配算法来获取高质量的深度信息。采用半全局立体匹配算法获取初步的视差估计量,在此基础上,建立基于一致性检验、中值滤波、多层次均值滤波和视差绘制方法的组合优化方法。实验结果表明,视差优化方法能够使视差的均方根误差下降40%左右、像素错误匹配比率下降20%以上,从而获取高精度的深度信息,为裸眼3D的虚拟视点实时精确绘制奠定技术基础。Aiming at the problem of real-time and authenticity of naked-eye 3D display based on binocular camera,a high-precision and efficient binocular stereo matching algorithm was studied to obtain high-quality depth information.A semi-global stereo matching algorithm was used to obtain the preliminary disparity estimator.On this basis,a combined optimization method based on consistency testing,median filtering,multi-level mean filtering and disparity rendering methods was established.The experimental results show that the proposed parallax optimization method can reduce the root-mean-square error of parallax by about 40%and the pixel mismatch ratio by more than 20%,so as to obtain high-precision depth information,and it lays the technical foundation for real-time accurate rendering of naked eye 3D virtual viewpoints.

关 键 词：裸眼3D 视差优化 立体匹配 双目相机 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]