5D Adaptive Light Field Sampling (FiDALiS)

5D 自适应光场采样 (FiDALiS)

• 批准号: 429078454
• 负责人: Professor Dr.-Ing. Thorsten Herfet
• 金额: --
• 依托单位: Lehrstuhl für Nachrichtentechnik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2023-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/429078454?language=en
• 关键词: 5D; Adaptive; Light; Field; Sampling

The dramatic increase in as well the spatial as the temporal resolution of current image sensors led to the desire to evolve the classical 2-dimensional (in case of motion pictures 3-dimensional) sampling raster, known and nearly unchanged since the time of the camera obscura. Light fields, which capture an excerpt of the plenoptic function, play a significant role in those developments. Such light fields are described by a 4-dimensional (in case of motion pictures 5-dimensional) sampling raster.The project aims at the ideal and dynamic adaptation of the 5-dimensional sampling raster to the content of the captured scene. All sensors resp. sensory systems have a limited data-rate (measured in rays / second) and hence the captured information content is highly dependent on the distribution of the rays over the 4 spatial plus the temporal coordinate. The project will fundamentally investigate and describe this adaptive 5-dimensional sampling. Restrictions founded in the physics of the underlying sensory system (typically rays can only be generated in groups and at discrete points in time) will be considered as constraints.

当前图像传感器的空间分辨率和时间分辨率的急剧增加导致期望发展经典的2维（在电影3维的情况下）采样光栅，该采样光栅是已知的并且自暗箱时代以来几乎没有改变。捕获全光函数的摘录的光场在这些发展中起着重要作用。此类光场由4维（如果是电影，则为5维）采样光栅描述。该项目旨在使5维采样光栅理想且动态地适应所捕获场景的内容。所有传感器传感系统具有有限的数据速率（以射线/秒测量），因此捕获的信息内容高度依赖于射线在4个空间坐标加上时间坐标上的分布。该项目将从根本上研究和描述这种自适应5维采样。在底层感觉系统的物理学中发现的限制（通常射线只能在组中并且在离散时间点处生成）将被视为约束。