Efficient Large-Scale Structure From Motion by Fusing Auxiliary Imaging Information

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	Efficient Large-Scale Structure From Motion by Fusing Auxiliary Imaging Information
	Cui, Hainan1 ; Shen, Shuhan1 ; Gao, Wei1 ; Hu, Zhanyi2,3
刊名	IEEE TRANSACTIONS ON IMAGE PROCESSING
	2015-11-01
卷号	24 期号:11 页码:3561 - 3573
关键词	Structure from motion auxiliary imaging information potential inlier 3D reconstruction
英文摘要	One of the potentially effective means for large-scale 3D scene reconstruction is to reconstruct the scene in a global manner, rather than incrementally, by fully exploiting available auxiliary information on the imaging condition, such as camera location by Global Positioning System (GPS), orientation by inertial measurement unit (or compass), focal length from EXIF, and so on. However, such auxiliary information, though informative and valuable, is usually too noisy to be directly usable. In this paper, we present an approach by taking advantage of such noisy auxiliary information to improve structure from motion solving. More specifically, we introduce two effective iterative global optimization algorithms initiated with such noisy auxiliary information. One is a robust rotation averaging algorithm to deal with contaminated epipolar graph, the other is a robust scene reconstruction algorithm to deal with noisy GPS data for camera centers initialization. We found that by exclusively focusing on the estimated inliers at the current iteration, the optimization process initialized by such noisy auxiliary information could converge well and efficiently. Our proposed method is evaluated on real images captured by unmanned aerial vehicle, StreetView car, and conventional digital cameras. Extensive experimental results show that our method performs similarly or better than many of the state-of-art reconstruction approaches, in terms of reconstruction accuracy and completeness, but is more efficient and scalable for large-scale image data sets.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]	Computer Science ; Engineering
关键词[WOS]	3D RECONSTRUCTION
收录类别	SCI
原文出处	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7132763
语种	英语
WOS记录号	WOS:000358247700003
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/8883]
专题	自动化研究所_模式识别国家重点实验室_机器人视觉团队
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Cui, Hainan,Shen, Shuhan,Gao, Wei,et al. Efficient Large-Scale Structure From Motion by Fusing Auxiliary Imaging Information[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2015,24(11):3561 - 3573.
APA	Cui, Hainan,Shen, Shuhan,Gao, Wei,&Hu, Zhanyi.(2015).Efficient Large-Scale Structure From Motion by Fusing Auxiliary Imaging Information.IEEE TRANSACTIONS ON IMAGE PROCESSING,24(11),3561 - 3573.
MLA	Cui, Hainan,et al."Efficient Large-Scale Structure From Motion by Fusing Auxiliary Imaging Information".IEEE TRANSACTIONS ON IMAGE PROCESSING 24.11(2015):3561 - 3573.