5D Adaptive Light Field Sampling (FiDALiS)

当前图像传感器的空间和时间分辨率的急剧增加，导致人们渴望发展经典的二维（在电影三维的情况下）采样光栅，这种采样光栅自照相机的时代以来几乎没有改变。光场捕捉了全视功能的一个片段，在这些发展中起着重要作用。这样的光场由一个四维（在运动图像为五维的情况下）采样光栅来描述。该项目旨在实现5维采样光栅对捕获场景内容的理想动态适应。所有传感器响应。感官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个空间和时间坐标上的分布。该项目将从根本上调查和描述这种自适应5维采样。在基础感觉系统的物理中建立的限制（通常光线只能在离散的时间点成组地产生）将被视为约束。

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.