青岛大学学报（自然科学版）2018，Vol.31Issue(2)：102-107,6.DOI:10.3969/j.issn.1006-1037.2018.05.18
基于单目增量式稀疏SFM研究与实现
Research and Implementation of Monocular Sparse Reconstruction Based on Incremental SFM
摘要
Abstract
In the field of visual SLAM and visual SFM,in order to study the problem of reconstructing the 3D scene that can be semantic recognized by the robot at a low cost,some of the procedure of the reconstruction has been improved based on the Colmap algorithm.Photos in the initialization process have been carefully selected and Bundle Adjustment after the 3D point cloud has been computed several times.Reconstruction result has been analyzed by using photos pictured by a UAV,and it has been found that the completeness,robustness,accuracy and the efficiency of the reconstruction has received a good result.关键词
稀疏重建/增量SFM/运动恢复结构Key words
sparse reconstruction/incremental SFM/structure from Motion分类
信息技术与安全科学引用本文复制引用
安帅,杨杰,乔羽,李鹏..基于单目增量式稀疏SFM研究与实现[J].青岛大学学报（自然科学版）,2018,31(2):102-107,6.
