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Effects of the Level of Detail on the Recognition of City Landmarks in Virtual Environments

Doula, Achref ; Kaufmann, Philipp ; Sanchez Guinea, Alejandro ; Mühlhäuser, Max (2022):
Effects of the Level of Detail on the Recognition of City Landmarks in Virtual Environments.
In: Proceedings: 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, pp. 860-861,
IEEE, 2022 IEEE Conference on Virtual Reality and 3D User Interfaces, virtual Conference, 12.-16.03.2022, ISBN 978-1-6654-8402-2,
DOI: 10.1109/VRW55335.2022.00281,
[Conference or Workshop Item]

Abstract

The reconstruction of city landmarks is central to creating recognizable virtual environments representing real cities. Despite the recent advances, it is still not clear what level of detail (LOD) to adopt when reconstructing those landmarks for their correct recognition, and if particular architectural styles represent specific challenges in this respect. In this paper, we investigate the effect of LOD on landmark recognition, generally, and on some architectural styles, specifically. The results of our user study show that higher LOD lead to a better landmark identification. Particularly, Neoclassical-style buildings need more details to be individually distinguished from similar ones.

Item Type: Conference or Workshop Item
Erschienen: 2022
Creators: Doula, Achref ; Kaufmann, Philipp ; Sanchez Guinea, Alejandro ; Mühlhäuser, Max
Title: Effects of the Level of Detail on the Recognition of City Landmarks in Virtual Environments
Language: English
Abstract:

The reconstruction of city landmarks is central to creating recognizable virtual environments representing real cities. Despite the recent advances, it is still not clear what level of detail (LOD) to adopt when reconstructing those landmarks for their correct recognition, and if particular architectural styles represent specific challenges in this respect. In this paper, we investigate the effect of LOD on landmark recognition, generally, and on some architectural styles, specifically. The results of our user study show that higher LOD lead to a better landmark identification. Particularly, Neoclassical-style buildings need more details to be individually distinguished from similar ones.

Book Title: Proceedings: 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops
Publisher: IEEE
ISBN: 978-1-6654-8402-2
Uncontrolled Keywords: emergenCITY_INF
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
Event Title: 2022 IEEE Conference on Virtual Reality and 3D User Interfaces
Event Location: virtual Conference
Event Dates: 12.-16.03.2022
Date Deposited: 06 Sep 2022 15:07
DOI: 10.1109/VRW55335.2022.00281
URL / URN: https://ieeexplore.ieee.org/abstract/document/9757377
PPN: 498948234
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