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

	Efficient Large-Scale Structure From Motion by Fusing Auxiliary Imaging Information
	Cui, Hainan1 ; Shen, Shuhan1 ; Gao, Wei1 ; Hu, Zhanyi2,3
发表期刊	IEEE TRANSACTIONS ON IMAGE PROCESSING
	2015-11-01
卷号	24 期号:11 页码:3561 - 3573
文章类型	Article
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.
关键词	Structure From Motion Auxiliary Imaging Information Potential Inlier 3d Reconstruction
WOS标题词	Science & Technology ; Technology
关键词[WOS]	3D RECONSTRUCTION
URL	查看原文
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000358247700003
引用统计	被引频次：39[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/173211/8883
专题	多模态人工智能系统全国重点实验室_机器人视觉
通讯作者	Cui, Hainan
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
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
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.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Efficient Large-Scal（5923KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览