Journal
2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)
Volume -, Issue -, Pages 3737-3745Publisher
IEEE
DOI: 10.1109/CVPR.2016.406
Keywords
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Funding
- NSF of China [61327902, 61120106003]
- Terman Faculty Fellowship
- NSF [1539120, 1553333]
- Intel Compressive Sensing Alliance
- NSF/Intel Partnership on Visual and Experiential Computing
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1539120] Funding Source: National Science Foundation
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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.
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