English

Bundle Adjustment Revisited

Computer Vision and Pattern Recognition 2019-12-10 v1

Abstract

3D reconstruction has been developing all these two decades, from moderate to medium size and to large scale. It's well known that bundle adjustment plays an important role in 3D reconstruction, mainly in Structure from Motion(SfM) and Simultaneously Localization and Mapping(SLAM). While bundle adjustment optimizes camera parameters and 3D points as a non-negligible final step, it suffers from memory and efficiency requirements in very large scale reconstruction. In this paper, we study the development of bundle adjustment elaborately in both conventional and distributed approaches. The detailed derivation and pseudo code are also given in this paper.

Keywords

Cite

@article{arxiv.1912.03858,
  title  = {Bundle Adjustment Revisited},
  author = {Yu Chen and Yisong Chen and Guoping Wang},
  journal= {arXiv preprint arXiv:1912.03858},
  year   = {2019}
}

Comments

9 pages, 9 figures

R2 v1 2026-06-23T12:39:38.085Z