FURTHER STUDIES ON VISUAL PERCEPTION FOR PERCEPTUAL ROBOTICS

Abstract

Further studies on computer-based perception by vision modelling are described. The visual perception is mathematically modelled, where the model receives and interprets visual data from the environment. The perception is defined in probabilistic terms so that it is in the same way quantified. At the same time, the measurement of visual perception is made possible in real-time. Quantifying visual perception is essential for information gain calculation. Providing virtual environment with appropriate perception distribution is important for enhanced distance estimation in virtual reality. Computer experiments are carried out by means of a virtual agent in a virtual environment demonstrating the verification of the theoretical considerations being presented, and the far reaching implications of the studies are pointed out.