Perception-based fast rendering and antialiasing of walkthrough sequences

In this paper, we consider accelerated rendering of high quality walkthroug h animation sequences along predefined paths. To improve rendering performa nce, we use a combination of a hybrid ray tracing and Image-Based Rendering (IBR) technique and a novel perception-based antialiasing technique. In ou r rendering solution, we derive as many pixels as possible using inexpensiv e IBR techniques without affecting the animation quality. A perception-base d spatiotemporal Animation Quality Metric (AQM) is used to automatically gu ide such a hybrid rendering. The Image Flow (IF) obtained as a byproduct of the IBR computation is an integral part of the AQM. The final animation qu ality is enhanced by an efficient spatiotemporal antialiasing which utilize s the IF to perform a motion-compensated filtering. The filter parameters h ave been tuned using the AQM predictions of animation quality as perceived by the human observer. These parameters adapt locally to the visual pattern velocity.