All in-Focus View Synthesis from Under-Sampled Light Fields
All in-Focus View Synthesis from Under-Sampled Light Fields
复制标题
来自欠采样光场的所有焦点视图合成
DOI：
10.1007/s12519-018-0168-0
复制
发表时间：
2003
影响因子：
8.7
通讯作者：
T. Naemura
中科院分区：
文献类型：
--
作者：
Keita Takahashi;Akira Kubota;T. Naemura
光场渲染 (LFR) 是从一组预先采集的图像生成新视图的基本方法。我们使用密集排列的相机来获取图像集。在大多数实际情况下，对齐相机的密度不足以合成适当的视图。这种“采样不足”的情况会导致合成视图中出现类似焦点的效果。本文提出了解决该问题的新方法。首先，从预先采集的欠采样图像组合成一组不同聚焦的视图。然后，从一组不同聚焦的视图生成全聚焦视图。这是基于专门用于光场渲染和全光采样理论的新焦点测量算法。实验结果表明了我们方法的有效性。
Light field rendering (LFR) is a fundamental method for generating new views from a set of pre-acquired images. We use densely-aligned cameras for the process of acquiring the set of images. In most practical cases, the density of the aligned cameras is not high enough to synthesize appropriate views. This “under-sampling” condition causes focus-like effects in the synthesized views. This paper proposes a new method for solving this problem. First, a set of differently focused views is synthesized from the undersampled set of pre-acquired images. Then, an all in-focus view is generated from the set of differently focused views. This is based on a new focus measurement algorithm specialized for light field rendering and plenoptic sampling theory. Experimental results show the effectiveness of our approach.