The environmental colour imagery survey via virtual reality

Abstract

The objective of environmental colour planning is to maintain a balance between the colour imagery of the local environment and the heritage of the local culture. Previous research has highlighted the significance of local environmental colour imagery as a key factor influencing colour scheme planning [1]. Environmental colour imagery studies focus on gathering, analysing, and extracting local colours to represent the colour imagery of a regional environment. This includes illustrating architectural colour palettes, incorporating local natural geographical features (such as indigenous materials), and establishing connections between environmental conditions and human geography (local cultural traditions, customs, etc.) [2-3]. All factors influencing the colour imagery of the environment are within the scope of investigation. An environmental colour imagery survey is conducted to gather regional colour information and establish an environmental colour database for further analysis. This survey employs a systematic approach [4] utilising panoramic photography, sampling, colour measurement, coding, and classification. A panoramic camera equipped with an UVA is utilised to capture 360-degree panoramic images encompassing regional environmental landscapes such as mountains, skies, landforms, buildings, and roads. Through a series of high-resolution panoramic images taken from various angles, an immersive virtual reality representation of the regional landscape is created, allowing observers to experience the scene as if they were present [5]. It is imperative that the environmental colour imagery survey via virtual reality [6] aids in better understanding the colour space of the regional environment and the cognitive semantics of local environmental colour perception by observers [7-8]. The findings of this study reveal that the distribution of certain colour imagery data shows conflicting intensities in certain distributions, with mean value appearing to be neutral but not actually unanimous consensus, as in the case of blue area. Further investigation and in-depth analysis of the semantic scale of colour imagery is needed to unravel these complexities.