SPIDER: A framework for processing, editing and presenting immersive high-resolution spherical indoor scenes

Today’s Extended Reality (XR) applications that call for specific Diminished Reality (DR) strategies to hide specific classes of objects are increasingly using 360° cameras, which can capture entire areas in a single picture. In this work, we present an interactive-based image processing, editing an...

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Vydané v:	Graphical models Ročník 128; s. 101182
Hlavní autori:	Tukur, M., Pintore, G., Gobbetti, E., Schneider, J., Agus, M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.07.2023 Elsevier
Predmet:	Deep Learning Extended Reality Indoor Environments Spherical images Super resolution Reconstruction Spherical images Computing methodologies: Image-based rendering Indoor Environments Extended Reality Applied computing: Architecture (buildings) Deep Learning Super resolution
ISSN:	1524-0703
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