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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Veröffentlicht in:	Graphical models Jg. 128; S. 101182
Hauptverfasser:	Tukur, M., Pintore, G., Gobbetti, E., Schneider, J., Agus, M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.07.2023 Elsevier
Schlagworte:	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
Online-Zugang:	Volltext
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