ShanghaiTech University Knowledge Management System
Resolving Scale Ambiguity Via XSlit Aspect Ratio Analysis | |
2015 | |
会议录名称 | 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)
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ISSN | 2380-7504 |
卷号 | 2015 International Conference on Computer Vision, ICCV 2015 |
页码 | 3424-3432 |
发表状态 | 已发表 |
DOI | 10.1109/ICCV.2015.391 |
摘要 | In perspective cameras, images of a frontal-parallel 3D object preserve its aspect ratio invariant to its depth. Such an invariance is useful in photography but is unique to perspective projection. In this paper, we show that alternative non-perspective cameras such as the crossed-slit or XSlit cameras exhibit a different depth-dependent aspect ratio (DDAR) property that can be used to 3D recovery. We first conduct a comprehensive analysis to characterize DDAR, infer object depth from its AR, and model recoverable depth range, sensitivity, and error. We show that repeated shape patterns in real Manhattan World scenes can be used for 3D reconstruction using a single XSlit image. We also extend our analysis to model slopes of lines. Specifically, parallel 3D lines exhibit depth-dependent slopes (DDS) on their images which can also be used to infer their depths. We validate our analyses using real XSlit cameras, XSlit panoramas, and catadioptric mirrors. Experiments show that DDAR and DDS provide important depth cues and enable effective single-image scene reconstruction. |
出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA |
会议地点 | Santiago, Chile |
会议日期 | 7-13 Dec. 2015 |
URL | 查看原文 |
收录类别 | CPCI ; EI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000380414100383 |
出版者 | IEEE |
EI入藏号 | 20162502506731 |
EI主题词 | Cameras ; Computer vision ; Image processing ; Image reconstruction |
EI分类号 | Computer Applications:723.5 ; Photographic Equipment:742.2 |
WOS关键词 | SINGLE IMAGE ; CAMERA |
原始文献类型 | Proceedings Paper |
来源库 | IEEE |
引用统计 | 正在获取...
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文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/2299 |
专题 | 信息科学与技术学院_PI研究组_虞晶怡组 |
通讯作者 | Yang, Wei |
作者单位 | 1.Univ Delaware, Newark, DE 19716 USA 2.Microsoft Res, Greater Seattle, WA USA 3.ShanghaiTech Univ, Shanghai, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Wei,Lin, Haiting,Kang, Sing Bing,et al. Resolving Scale Ambiguity Via XSlit Aspect Ratio Analysis[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2015:3424-3432. |
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