title: Synthetic vision and memory model for virtual human - biomed 2010.
abstract: This paper describes the methods and case studies of a novel synthetic vision and memory model for virtual human. The synthetic vision module simulates the biological / optical abilities and limitations of the human vision. The module is based on a series of collision detection between the boundary of virtual humans field of vision (FOV) volume and the surface of objects in a recreated 3D environment. The memory module simulates a short-term memory capability by employing a simplified memory structure (first-in-first-out stack). The synthetic vision and memory model has been integrated into a virtual human modelling project, Intelligent Virtual Modelling. The project aimed to improve the realism and autonomy of virtual humans.
authors.affiliation: Brunel University, Uxbridge, Middlesex.
authors.forename: Yue
authors.initials: Y
authors.lastname: Zhao
authors.forename: Jinsheng
authors.initials: J
authors.lastname: Kang
authors.forename: David
authors.initials: D
authors.lastname: Wright