Structure from motion(SfM)aims to compute the absolute camera poses in a global unified coor-dinate system based on local feature matches between image pairs,which is a key problem in image-based 3D reconstruction.In recent years,with the development of acquisition devices,computational resources,and theoretical methods,research on SfM has gradually expanded from small-scale controlled laboratory settings to large-scale real-world indoor and outdoor environments,by which significant progress in both theoretical methods and practical applications has been achieved.Starting from the perspective of practical ap-plication,this survey focuses on the latest advances in large-scale 3D scene reconstruction-oriented SfM re-search,and compared with existing surveys in the related field,it specifically concentrates on the core problem of camera pose estimation in SfM and provides a comprehensive overview of the latest developments on both analytical and learning-based approaches.On this basis,to facilitate community development,the current pro-gress and future trend in SfM research are also discussed and analyzed by this survey.
关键词
运动恢复结构/大规模场景三维重建/解析式SfM方法/学习式SfM方法
Key words
structure from motion/large-scale 3D scene reconstruction/analytical SfM methods/learning-based SfM methods
维普
万方数据