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Efficient and robust large-scale structure-from-motion via track selection and camera prioritization
Cui, Hainan1; Shen, Shuhan1,2; Gao, Wei1,2; Liu, Hongmin4; Wang, Zhiheng3
发表期刊ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN0924-2716
2019-10-01
卷号156页码:202-214
通讯作者Cui, Hainan(hncui@nlpr.ia.ac.cn) ; Liu, Hongmin(hmliu_82@163.com)
摘要Incremental Structure-from-Motion (SfM) techniques have exhibited superior practicability in many recent studies; however, efficiency and robustness remain key challenges for these techniques. In this work, we propose a new incremental SfM method that overcomes these problems in a united framework that contains two iteration loops. The inner loop is a track selection loop, where a well-conditioned subset of the feature tracks is iteratively selected to accelerate the time-consuming bundle adjustment. The outer loop is a camera registration loop, where the a priori camera rotations are estimated via rotation averaging on multiple orthogonal maximum spanning trees (OMSTs) of the view-graph and used as weak supervision for the registration. The calibrated camera poses that agree with the a priori camera rotations are preferentially registered, and after all the consistent cameras have been calibrated, the remaining cameras are incrementally registered. The results of extensive experiments demonstrate that our system can reconstruct both general and ambiguous image datasets, and our system outperforms many state-of-the-art SfM systems in terms of efficiency and robustness.
关键词Image-based modeling Structure-from-motion Track selection Rotation averaging Camera prioritization
DOI10.1016/j.isprsjprs.2019.08.005
收录类别SCI
语种英语
资助项目National Key R&D Program of China[2016YFB0502002] ; Natural Science Foundation of China[61703397] ; Natural Science Foundation of China[61632003] ; Henan Science and Technology Innovation Outstanding Youth Program[184100510009] ; Henan University Scientific and Technological Innovation Team Support Program[19IRTSTHN012] ; National Key R&D Program of China[2016YFB0502002] ; National Key R&D Program of China[2016YFB0502002] ; Natural Science Foundation of China[61703397] ; Natural Science Foundation of China[61632003] ; Henan Science and Technology Innovation Outstanding Youth Program[184100510009] ; Henan University Scientific and Technological Innovation Team Support Program[19IRTSTHN012]
项目资助者National Key R&D Program of China ; Natural Science Foundation of China ; Henan Science and Technology Innovation Outstanding Youth Program ; Henan University Scientific and Technological Innovation Team Support Program
WOS研究方向Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000487765800015
出版者ELSEVIER
七大方向——子方向分类三维视觉
引用统计
被引频次:18[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/26076
专题模式识别国家重点实验室_机器人视觉
通讯作者Cui, Hainan; Liu, Hongmin
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Henan Polytech Univ, Jiaozuo 454000, Henan, Peoples R China
4.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
第一作者单位模式识别国家重点实验室
通讯作者单位模式识别国家重点实验室
推荐引用方式
GB/T 7714
Cui, Hainan,Shen, Shuhan,Gao, Wei,et al. Efficient and robust large-scale structure-from-motion via track selection and camera prioritization[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2019,156:202-214.
APA Cui, Hainan,Shen, Shuhan,Gao, Wei,Liu, Hongmin,&Wang, Zhiheng.(2019).Efficient and robust large-scale structure-from-motion via track selection and camera prioritization.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,156,202-214.
MLA Cui, Hainan,et al."Efficient and robust large-scale structure-from-motion via track selection and camera prioritization".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 156(2019):202-214.
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