| Title |
Panoramic visual perception and identification of architectural cityscape elements in a virtual-reality environment |
| ID_Doc |
41777 |
| Authors |
Zhang, RX; Zhang, LM |
| Title |
Panoramic visual perception and identification of architectural cityscape elements in a virtual-reality environment |
| Year |
2021 |
| Published |
|
| DOI |
10.1016/j.future.2020.12.022 |
| Abstract |
The rapid development of new digital technologies, such as those of virtual reality (VR), human-computer interaction, and artificial intelligence, has provided new opportunities for intelligent cityscape management and perception. This paper provides a new set of intelligent methods for integrating, refining, and managing architectural cityscape elements with VR-based visual perception technologies. We firstly analyze multidimensional subjective perception ratings as well as objective visual data obtained via synchronous human experience tracking in panoramic VR environments. Based on this analysis, we reveal the functions and weights of various cityscape elements, examine the deep cityscape formation mechanism, and hence put forward refined strategies for cityscape development. This work represents a novel approach for cityscape perception and deep understanding, and significantly promotes the application of cutting-edge digital technologies in smart city planning and governance. (C) 2021 Elsevier B.V. All rights reserved. |
| Author Keywords |
Virtual reality; Smart city; Urban renewal; Multidimensional perception; In-depth visual perception; People-oriented |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000620648600009 |
| WoS Category |
Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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