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Journal Article

Perception-Based Fast Rendering and Antialiasing of Walkthrough Sequences

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45095

Myszkowski,  Karol
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45308

Rokita,  Przemyslaw
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45595

Tawara,  Takehiro
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Myszkowski, K., Rokita, P., & Tawara, T. (2000). Perception-Based Fast Rendering and Antialiasing of Walkthrough Sequences. IEEE Transactions on Visualization and Computer Graphics, 6(4), 360-379. Retrieved from http://www.computer.org/tvcg/tg2000/v4toc.htm.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-34E7-E
Abstract
In this paper, we consider accelerated rendering of high quality walkthrough animation sequences along predefined paths. To improve rendering performance we use a combination of: a hybrid ray tracing and Image-Based Rendering (IBR) technique, and a novel perception-based antialiasing technique. In our rendering solution we derive as many pixels as possible using inexpensive IBR techniques without affecting the animation quality. A perception-based spatiotemporal Animation Quality Metric (AQM) is used to automatically guide such a hybrid rendering. The Image Flow (IF) obtained as a by-product of the IBR computation is an integral part of the AQM. The final animation quality is enhanced by an efficient spatiotemporal antialiasing, which utilizes the IF to perform a motion-compensated filtering. The filter parameters have been tuned using the AQM predictions of animation quality as perceived by the human observer. These parameters adapt locally to the visual pattern velocity.