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SAIL: Semantic Analysis of Information in Light Fields: Results from Synthetic and Real-World Data

Publication by Robin Kremer, Thorsten Herfet
Related to the FiDALiS project
Published in WSCG, 2023


Computational photography has revolutionized the way we capture and interpret images. Light fields, in particular, offer a rich representation of a scene’s geometry and appearance by encoding both spatial and angular information. In this paper, we present a novel approach to light field analysis that focuses on semantics. In contrast to the uniform distribution of samples in two-dimensional images, the distribution of samples in light fields varies for different scene regions. Some points are sampled from multiple directions, while others may only be captured by a small portion of the light field array. Our approach provides insights into this non-uniform distribution and helps guide further processing steps to fully leverage the available information content.