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ShanghaiTech University Knowledge Management System
Ray-Space Projection Model for Light Field Camera | |
2019-06 | |
会议录名称 | 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)
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ISSN | 1063-6919 |
页码 | 10113-10121 |
发表状态 | 已发表 |
DOI | 10.1109/CVPR.2019.01036 |
摘要 | Light field essentially represents the collection of rays in space. The rays captured by multiple light field cameras form subsets of full rays in 3D space and can be transformed to each other. However, most previous approaches model the projection from an arbitrary point in 3D space to corresponding pixel on the sensor. There are few models on describing the ray sampling and transformation among multiple light field cameras. In the paper, we propose a novel ray-space projection model to transform sets of rays captured by multiple light field cameras in term of the Plucker coordinates. We first derive a 6×6 ray-space intrinsic matrix based on multi-projection-center (MPC) model. A homogeneous ray-space projection matrix and a fundamental matrix are then proposed to establish ray-ray correspondences among multiple light fields. Finally, based on the ray-space projection matrix, a novel camera calibration method is proposed to verify the proposed model. A linear constraint and a ray-ray cost function are established for linear initial solution and non-linear optimization respectively. Experimental results on both synthetic and real light field data have verified the effectiveness and robustness of the proposed model. |
会议地点 | Long Beach, CA, USA |
会议日期 | 15-20 June 2019 |
URL | 查看原文 |
收录类别 | EI ; CPCI-S ; CPCI |
语种 | 英语 |
资助项目 | Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University[CX201919] |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods |
WOS记录号 | WOS:000542649303074 |
出版者 | IEEE Computer Society |
EI入藏号 | 20200508113443 |
WOS关键词 | CALIBRATION ; GEOMETRY |
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/50017 |
专题 | 信息科学与技术学院_PI研究组_虞晶怡组 |
作者单位 | 1.School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, P.R. China 2.ShanghaiTech University, Shanghai 200031, P.R. China |
推荐引用方式 GB/T 7714 | Qi Zhang,Jinbo Ling,Qing Wang,et al. Ray-Space Projection Model for Light Field Camera[C]:IEEE Computer Society,2019:10113-10121. |
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