Application of a visual perception model in virtual reality

ABSTRACT

Visual perception is an important source of information for a human. It is directly related to vision although this relation is commonly not quantified but qualitatively well described. This research aims to establish a human visual perception model to analyse the perception process and thereby quantify its properties. Recognizing the relation between vision and perception, which are deterministic and probabilistic in nature, respectively, a probabilistic theory for perception is developed. From the theoretical results, the perception is defined in mathematical terms and based on this a perception model is devised in virtual reality for the verification of the theory.

REFERENCES

• 1: Ciftcioglu, Ö., Bittermann, M. S., and Sariyildiz, I. S. 2006. Towards computer-based perception by modeling visual perception: a probabilistic theory. In Proceedings of IEEE International Conference on Systems, Man and Cybernetics, October 8--11, 2006, Taipei, Taiwan
• 2: Ciftcioglu, Ö., Bittermann, M. S., and Sariyildiz, I. S. 2006. Studies on visual perception for perceptual robotics. In Proceedings of ICINCO 2006, 3rd Int. Conference on Informatics in Control, Automation and Robotics, August 1--5, 2006, Setubal, Portugal

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.10 Vision and Scene Understanding

Additional Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.1 Multimedia Information Systems
          Subjects: Artificial, augmented, and virtual realities

  I. Computing Methodologies
  I.3 COMPUTER GRAPHICS
      I.3.7 Three-Dimensional Graphics and Realism
          Subjects: Virtual reality
      I.3.8 Applications

General Terms:
Algorithms, Design, Theory