Global fusion of generalized camera model for efficient large-scale structure from motion
Cui, Hainan(崔海楠)1; Shen, Shuhan*(申抒含)1; Hu, Zhanyi(胡占义)1,2
发表期刊SCIENCE CHINA-INFORMATION SCIENCES
2017-03-01
卷号60期号:3页码:1-3
文章类型Article
摘要
Recently, interest has grown in building large-scale
3D city models [1] from images captured by multicamera
systems, such as cameras mounted on a
car, e.g., Google Street View, or on an unmanned
aerial vehicle, e.g., oblique airborne photogrammetry.
From such images, structure-from-motion
(SfM) techniques can be used to reconstruct the
3D scene. However, many state-of-the-art SfM methods are incapable
of reconstructing the ordered street view images
because rigidly mounted cameras are considered
separately in the SfM problem solving, i.e., they
failed to enforce the inherent rigid transformations
of the cameras in the system. Thus, the “generalized
camera” model, which is to consider multiple
cameras as a single one, is used to solve this problem.
关键词Structure-from-motion
WOS标题词Science & Technology ; Technology
DOI10.1007/s11432-015-0792-1
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61333015 ; 61473292)
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems
WOS记录号WOS:000394527700005
引用统计
被引频次:4[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/173211/14437
专题多模态人工智能系统全国重点实验室_机器人视觉
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
第一作者单位模式识别国家重点实验室
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Cui, Hainan,Shen, Shuhan*,Hu, Zhanyi. Global fusion of generalized camera model for efficient large-scale structure from motion[J]. SCIENCE CHINA-INFORMATION SCIENCES,2017,60(3):1-3.
APA Cui, Hainan,Shen, Shuhan*,&Hu, Zhanyi.(2017).Global fusion of generalized camera model for efficient large-scale structure from motion.SCIENCE CHINA-INFORMATION SCIENCES,60(3),1-3.
MLA Cui, Hainan,et al."Global fusion of generalized camera model for efficient large-scale structure from motion".SCIENCE CHINA-INFORMATION SCIENCES 60.3(2017):1-3.
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