ABSTRACT
This paper studies the use of visual blur effects, i.e., blurring of parts of the image fed back to the user, for First-Person-Navigations in Virtual Environments (VE). First, we introduce a model of dynamic visual blur for VE which is based on two types of blur effect: (1) a Depth-of-Field blur (DoF blur) which simulates the blurring of objects located in front or back of the focus point of the eyes, and (2) a peripheral blur which simulates the blurring of objects located at the periphery of the field of vision. We introduce two new techniques to improve real-time DoF: (1) a paradigm to compute automatically the focal distance, and (2) a temporal filtering that simulates the accommodation phenomenon. Second, we describe the results of a pilot experiment conducted to study the influence of blur effects on the performance and preference of video gamers during multiplayer sessions. Interestingly, it seems that visual blur effects did not degrade performance of gamers and they were preferred and selected by nearly half of the participants to improve fun and game-play. Taken together, our results suggest that the use of visual blur effects could thus be suitable in videogames and in other virtual environments.
- Anstis, S. 1998. Picturing peripheral acuity. Perception 27, 817--825.Google ScholarCross Ref
- Atchinson, D., and Smith, G. 2000. Optics of the Human Eye. Elsevier Health Science.Google Scholar
- Barsky, B. A. 2004. Vision-realistic rendering: Simulation of the scanned foveal image from wavefront data of human subjects. Proceedings of Symposium on Applied Perception in Graphics and Visualization, 73--81. Google ScholarDigital Library
- Demers, J. 2004. Depth of field: A survey of techniques. In GPU Gems, Addison-Wesley Professional, 375--390.Google Scholar
- IdSoftware, 2007. http://www.idsoftware.com/.Google Scholar
- Kenny, A., Delaney, H., McLoone, S., and Ward, T. 2005. A preliminary investigation into eye gaze data in a first person shooter game. In Proceedings of European Conference on Modelling and Simulation, Addison-Wesley Professional.Google Scholar
- Max, N., and Lerner, D. 1985. A two-and-a-half-d motion-blur algorithm. In Proceedings of ACM SIGGRAPH, vol. 19, 85--93. Google ScholarDigital Library
- Potmesil, M., and Chakravarty, I. 1981. A lens and aperture camera model for synthetic image generation. In Proceedings of ACM SIGGRAPH, vol. 19, 298--306. Google ScholarDigital Library
- Rokita, P. 1996. Generating depth-of-field effects in virtual reality applications. In Proceedings of IEEE Computer Graphics and Applications, vol. 16, 18--21. Google ScholarDigital Library
Index Terms
- Depth-of-field blur effects for first-person navigation in virtual environments
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