Towards a computer vision model of restorative scenes
This paper describes early progress in novel, interdisciplinary work that applies concepts and methods from Computer Vision to the development of a visual model of restorative scenes. Such a model has the potential to both enhance Attention Restoration Theory (ART) and to find numerous practical applications in the design and synthesis of living spaces and visual artefacts. To explore the feasibility of a visual model of restorative scenes, a comparison between known human gaze patterns and an exclusively bottom-up computational model of attention was performed.