In the Transformationally Invariant KInematics (TIKi) lab we integrate knowledge and methods from psychology and computer science, focusing on perception and computer graphics. In particular, we combine low-level psychophysics with modern computer graphics to enable an ecological psychology approach to the modelling and synthesis of behaviourally relevant spatio-temporal information.

Visual scenes contain an enormous amount of information. However, humans and computers have limited resources to extract, represent, manipulate and use this information. Although psychology and computer science have approached the question of how a system, either synthetic or organic, can perform these tasks separately, a synergistic fusion of the methods and knowledge of these two fields can provide innovative and efficient solutions. For example, knowledge of motion processing, stereopsis and internal noise compensation can provide insights into how computer graphics and computer vision might deal with similar problems. Similarly, knowledge about the dimensions and features that are important for more cognitive human abilities can be useful in designing algorithms for similar domains (e.g. expert systems, visualisation). Computer science techniques for solving these problems can be used as potential models for human mechanisms.