Global fusion of generalized camera model for efficient large-scale structure from motion
文献类型：期刊论文
| 作者 | Cui, Hainan(崔海楠)1 ; Shen, Shuhan*(申抒含）1; Hu, Zhanyi(胡占义)1,2
|
| 刊名 | SCIENCE CHINA-INFORMATION SCIENCES
 |
| 出版日期 | 2017-03-01 |
| 卷号 | 60期号:3页码:1-3 |
| 关键词 | Structure-from-motion |
| DOI | 10.1007/s11432-015-0792-1 |
| 文献子类 | Article |
| 英文摘要 |
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. |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000394527700005 |
| 资助机构 | National Natural Science Foundation of China(61333015 ; 61473292) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14437]  |
| 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, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | 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. |
入库方式： OAI收割
来源：自动化研究所
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