.png){kind=icon}
返回
Plenoptic video geometry
.png){kind=icon}
PRE
AI
DOI：10.1007/s00371-003-0203-5.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
More and more processing of visual information is nowadays done by computers, but the images captured by conventional cameras are still based on the pinhole principle inspired by our own eyes. This principle though is not necessarily the optimal image-formation principle for automated processing of visual information. Each camera samples the space of light rays according to some pattern. If we understand the structure of the space formed by the light rays passing through a volume of space, we can determine the camera, or in other words the sampling pattern of light rays, that is optimal with regard to a given task. In this work we analyze the differential structure of the space of time-varying light rays described by the plenoptic function and use this analysis to relate the rigid motion of an imaging device to the derivatives of the plenoptic function. The results can be used to define a hierarchy of camera models with respect to the structure from motion problem and formulate a linear, scene-independent estimation problem for the rigid motion of the sensor purely in terms of the captured images.
Keyword:
multi-view geometry
spatiotemporal image analysis
camera design
structure from motion
polydioptric cameras
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.9
论文数:
4.6K
被引数:
6.5K
机构
暂无机构信息
引用论文
.png){kind=icon}
Distribution of phosphorus in an above-to-below-ground profile in a Bornean tropical rain forest
PREAI
分享收藏分享收藏分享收藏
分享收藏
查看更多内容