Publication Details

Lightweight All-Focused Light Field Rendering

CHLUBNA Tomáš, MILET Tomáš and ZEMČÍK Pavel. Lightweight All-Focused Light Field Rendering. Computer Vision and Image Understanding, vol. 244, no. 7, 2024, pp. 7-8. ISSN 1077-3142. Available from: https://www.sciencedirect.com/science/article/abs/pii/S1077314224001127
Czech title
Nenáročné vykreslování zaostřeného light fieldu
Type
journal article
Language
english
Authors
URL
Keywords

light field, plane sweep, image-based rendering, GPU, focusing

Abstract

This paper proposes a novel real-time method for high-quality view interpolation from light field. The proposal is a lightweight method, which can be used with consumer GPU, reaching same or better quality than existing methods, in a shorter time, with significantly smaller memory requirements. Light field belongs to image-based rendering methods that can produce realistic images without computationally demanding algorithms. The novel view is synthesized from multiple input images of the same scene, captured at different camera positions. Standard rendering techniques, such as rasterization or ray-tracing, are limited in terms of quality, memory footprint, and speed. Light field rendering methods often produce unwanted artifacts resembling ghosting or blur in certain parts of the scene due to unknown geometry of the scene. The proposed method estimates the geometry for each pixel as an optimal focusing distance to mitigate the artifacts. The focusing distance determines which pixels from the input images are mixed to produce the final view. State-of-the-art methods use a constant-step pixel matching scan that iterates over a range of focusing distances. The scan searches for a distance with the smallest color dispersion of the contributing pixels, assuming that they belong to the same spot in the scene. The paper proposes an optimal scanning strategy of the focusing range, an improved color dispersion metric, and other minor improvements, such as sampling block size adjustment, out-of-bounds sampling, and filtering. Experimental results show that the proposal uses less resources, achieves better visual quality, and is significantly faster than existing light field rendering methods. The proposal is 8× faster than the methods in the same category. The proposal uses only four closest views from the light field data and reduces the necessary data transfer. Existing methods often require the full light field grid, which is typically 8×8 images large. Additionally, a new 4K light field dataset, containing scenes of various types, was created and published. An optimal novel method for light field acquisition is also proposed and used to create the dataset.

Published
2024
Pages
7-8
Journal
Computer Vision and Image Understanding, vol. 244, no. 7, ISSN 1077-3142
Publisher
Elsevier Science
DOI
UT WoS
001238000300001
EID Scopus
BibTeX
@ARTICLE{FITPUB13204,
   author = "Tom\'{a}\v{s} Chlubna and Tom\'{a}\v{s} Milet and Pavel Zem\v{c}\'{i}k",
   title = "Lightweight All-Focused Light Field Rendering",
   pages = "7--8",
   journal = "Computer Vision and Image Understanding",
   volume = 244,
   number = 7,
   year = 2024,
   ISSN = "1077-3142",
   doi = "10.1016/j.cviu.2024.104031",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/13204"
}
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