论文标题
一项有效的光场次采样和重建策略的研究
A Study of Efficient Light Field Subsampling and Reconstruction Strategies
论文作者
论文摘要
有限的角度分辨率是光场实际应用的主要障碍之一。尽管已经提出了许多方法来增强角度分辨率,但在这一领域尚未探索选择策略。在本文中,我们研究了光场的子采样和重建策略。首先,使用固定采样比(例如,围栏采样,列的采样或它们的组合)研究了不同的子采样策略。其次,探索了几种策略来从四个定期采样的输入视图中重建中间视图。还评估了输入的角度密度的影响。我们在现实世界和合成数据集上评估了这些策略,从我们的结果中制定了最佳的选择策略。这些可以应用于未来的光场研究中,例如压缩,角超分辨率和相机系统的设计。
Limited angular resolution is one of the main obstacles for practical applications of light fields. Although numerous approaches have been proposed to enhance angular resolution, view selection strategies have not been well explored in this area. In this paper, we study subsampling and reconstruction strategies for light fields. First, different subsampling strategies are studied with a fixed sampling ratio, such as row-wise sampling, column-wise sampling, or their combinations. Second, several strategies are explored to reconstruct intermediate views from four regularly sampled input views. The influence of the angular density of the input is also evaluated. We evaluate these strategies on both real-world and synthetic datasets, and optimal selection strategies are devised from our results. These can be applied in future light field research such as compression, angular super-resolution, and design of camera systems.