计算机应用研究Issue(9)：2862-2865,4.DOI:10.3969/j.issn.1001-3695.2015.09.071
基于MPB的三维重建方法研究及实现
Research and implementation of 3 D reconstruction method based on MPB
摘要
Abstract
This paper investigated the 3D reconstruction of the UAV remote sensing images,and prpopsed a novel reconstruc-tion framework(MPB)which explicitly decomposed the reconstruction task into image mosaic,camera pose estimation and bundle adjustment.Image mosaic means that all remote sensing images would be registrated into a plane to establish the plane model of terrain,then it estimated the camera pose from the plane model of terrain,bundle adjustment the camera poses and the terrain coordinates to complete the terrain 3D sparse reconstruction.This paper got the dense points based on the PMVS algo-rithm,and did a surface reconstruction and texture mapping to complete the 3D reconstruction.Based on the above ideas,it de-velopped a UAV remote sensing image 3D reconstruction system,and conducted extensive testing.The results show that the sys-tem can improve the reconstruction efficiency greatly,providing a fast and efficient approach for 3D reconstruction of remote sensing data.关键词
无人机遥感影像/三维重构/影像拼接/姿态估计/捆集调整Key words
UAV remote sensing images/3D reconstruction/image mosaic/pose estimation/bundle adjustment分类
信息技术与安全科学引用本文复制引用
刘彬,陈向宁,郭连朋..基于MPB的三维重建方法研究及实现[J].计算机应用研究,2015,(9):2862-2865,4.基金项目
军队探索项目 （）
