Robust and Accurate Hybrid Structure-From-Moti

Rui Li, Dong Gong, Jinqiu Sun, Yu Zhu, Ziwei Wei, Yanning Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

In this paper, we propose a hybrid Structure-from-Motion scheme which combines the strength of both global and local incremental SfM methods to get a drift-free and accurate estimation with lower time consumption. More specifically, we propose to construct a robust maximum leaf spanning tree (RMLST) from the initial scene graph and further expand it to a robust graph (RG) to grasp the global picture of camera distribution and scene structure. Then the views in the robust graph are solved in global manner as an initial estimation. After that, the remaining views are estimated with the proposed community-based local incremental approach to guarantee local accuracy and scalability. Bundle adjustment is conducted to optimize the estimation. Experiments show that our method is robust and free from the scene drift as global SfM, and shows much better efficiency than incremental approaches. Besides, our algorithm achieves higher accuracy compared with the state-of-the-art methods.

源语言英语
主期刊名2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings
出版商IEEE Computer Society
494-498
页数5
ISBN(电子版)9781538662496
DOI
出版状态已出版 - 9月 2019
活动26th IEEE International Conference on Image Processing, ICIP 2019 - Taipei, 中国台湾
期限: 22 9月 201925 9月 2019

出版系列

姓名Proceedings - International Conference on Image Processing, ICIP
2019-September
ISSN(印刷版)1522-4880

会议

会议26th IEEE International Conference on Image Processing, ICIP 2019
国家/地区中国台湾
Taipei
时期22/09/1925/09/19

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