Název:	SAIL: Semantic Analysis of Information in Light Fields: Results from Synthetic and Real-World Data
Autoři:	Kremer, Robin Herfet, Thorsten
Citace zdrojového dokumentu:	WSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 90-99.
Datum vydání:	2023
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/54414
ISBN:	978-80-86943-32-9
ISSN:	2464–4617 (print) 2464–4625 (CD/DVD)
Klíčová slova:	světelná pole;výpočetní fotografie;sémantická analýza;informační obsah;MPEG-I
Klíčová slova v dalším jazyce:	light fields;computational photography;semantic analysis;information content;MPEG-I
Abstrakt v dalším jazyce:	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.
Práva:	© Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	WSCG 2023: Full Papers Proceedings

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.