Variable Aperture Light Field Photography: Overcoming the Diffraction-limited Spatio-angular Resolution Tradeoff

被引:12
作者
Chang, Julie [1 ]
Kauvar, Isaac [1 ]
Hu, Xuemei [1 ,2 ]
Wetzstein, Gordon [1 ]
机构
[1] Stanford Univ, Stanford, CA 94305 USA
[2] Tsinghua Univ, Beijing, Peoples R China
来源
2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) | 2016年
基金
美国国家科学基金会;
关键词
PERFORMANCE;
D O I
10.1109/CVPR.2016.406
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Light fields have many applications in machine vision, consumer photography, robotics, and microscopy. However, the prevalent resolution limits of existing light field imaging systems hinder widespread adoption. In this paper, we analyze fundamental resolution limits of light field cameras in the diffraction limit. We propose a sequential, coded-aperture-style acquisition scheme that optimizes the resolution of a light field reconstructed from multiple photographs captured from different perspectives and f-number settings. We also show that the proposed acquisition scheme facilitates high dynamic range light field imaging and demonstrate a proof-of-concept prototype system. With this work, we hope to advance our understanding of the resolution limits of light field photography and develop practical computational imaging systems to overcome them.
引用
收藏
页码:3737 / 3745
页数:9
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