Spatiotemporal sensistivity and visual attention for efficient rendering of dynamic environments

TL;DR

This paper introduces a perceptually-driven method to accelerate global illumination calculations in dynamic scenes by leveraging human visual sensitivity, resulting in significant computational speedups and broad applicability.

Contribution

It presents a novel spatiotemporal error tolerance map based on visual attention models to improve rendering efficiency in dynamic environments.

Findings

Achieves an order of magnitude speedup in global illumination computation.

Effective in animation, image-based rendering, and video applications.

Adaptable approach suitable for various real-time rendering tasks.

Abstract

We present a method to accelerate global illumination computation in dynamic environments by taking advantage of limitations of the human visual system. A model of visual attention is used to locate regions of interest in a scene and to modulate spatiotemporal sensitivity. The method is applied in the form of a spatiotemporal error tolerance map. Perceptual acceleration combined with good sampling protocols provide a global illumination solution feasible for use in animation. Results indicate an order of magnitude improvement in computational speed. The method is adaptable and can also be used in image-based rendering, geometry level of detail selection, realistic image synthesis, video telephony and video compression.