1. Panoramic visual perception and identification of architectural cityscape elements in a virtual-reality environment
- Author
-
Ruo-Xi Zhang and Le-Min Zhang
- Subjects
Visual perception ,Computer Networks and Communications ,Computer science ,Subjective perception ,media_common.quotation_subject ,020206 networking & telecommunications ,02 engineering and technology ,Virtual reality ,Identification (information) ,Hardware and Architecture ,Human–computer interaction ,Smart city ,Perception ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Cityscape ,Set (psychology) ,Software ,media_common - 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.
- Published
- 2021