机械与电子2016，Vol.34Issue(7)：57-61,66,6.
基于双目视觉的地形三维重建
3D Terrain Reconstruction Based on Binocular Vision
摘要
Abstract
In order to conveniently obtain topographic information and overcome the draw back of the traditional contact measurement methods ,a 3D terrain reconstruction method based on binocular vision was put forward .Firstly ,image correction was completed .Next ,3D point information of terrain was ob‐tained through an efficient stereo matching algorithm based on supporting point neighbor extending .And then ,a curvature method based on octree principle was used to simplify the point cloud .Finally ,an im‐proved Delaunay triangle subdivision algorithm was used to accomplish the triangulation and rebuild the 3D model of terrain .Experimental results have shown that the proposed methods in this paper can acquire dense disparity map in 1 second and reduce the number of point from 21 841 to 5 463 (25% ) within 0 .7 second .And on this basis ,triangulation of the rough terrain for 3D model rebuilding can be quickly a‐chieved with the details reserved .关键词
双目视觉/立体匹配/点云精简/三维重建Key words
binocular vision/stereo matching/point cloud simplification/3D reconstruction分类
信息技术与安全科学引用本文复制引用
周瑜,李戈,张学贺,赵杰..基于双目视觉的地形三维重建[J].机械与电子,2016,34(7):57-61,66,6.基金项目
国家自然科学基金资助项目 （）
