- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Stereoscopic depth perception through foliage ; volume:14 ; number:1 ; day:4 ; month:10 ; year:2024 ; pages:1-12 ; date:12.2024
Scientific reports ; 14, Heft 1 (4.10.2024), 1-12, 12.2024
- Creator
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Kerschner, Robert
Nathan, Rakesh John Amala Arokia
Mantiuk, Rafał K.
Bimber, Oliver
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-74666-0
- URN
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urn:nbn:de:101:1-2412202102389.609230608069
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:30 AM CEST
Data provider
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Associated
- Kerschner, Robert
- Nathan, Rakesh John Amala Arokia
- Mantiuk, Rafał K.
- Bimber, Oliver
- SpringerLink (Online service)
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Playing stereoscopic video games enhances the precision but not the accuracy of depth perception
AMENet is a monocular depth estimation network designed for automatic stereoscopic display
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Using Functional Near Infrared Spectroscopy (fNIRS) to Study Dynamic Stereoscopic Depth Perception
Stereoscopic depth estimation for online vision systems
Depth, shading, and stylization in stereoscopic cinematography
Stereoscopic depth estimation for online vision systems
Playing stereoscopic video games enhances the precision but not the accuracy of depth perception
AMENet is a monocular depth estimation network designed for automatic stereoscopic display
Assessing human depth perception for 2D and 3D stereoscopic images and video and its relation with the overall 3D QoE
Dynamics in binocular depth perception