Special Section on CAD/Graphics 2013: Parallel and adaptive visibility sampling for rendering dynamic scenes with spatially varying reflectance

  • Authors:
  • Rui Wang;Minghao Pan;Xiang Han;Weifeng Chen;Hujun Bao

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • Computers and Graphics
  • Year:
  • 2014

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Abstract

Fast rendering of dynamic scenes with natural illumination, all-frequency shadows and spatially varying reflections is important but challenging. One main difficulty brought by moving objects is that the runtime visibility update of dynamic occlusion is usually time-consuming and slow. In this paper, we present a new visibility sampling technique and show that efficient all-frequency rendering of dynamic scenes can be achieved by sampling visibility of dynamic objects in an adaptive and parallel way. First, we propose a two-level adaptive sampling scheme to distribute sample points spatially and compute visibility maps angularly on each sample point. Then, we present a parallel hemispherical distance transform to convert these visibility maps into spherical signed distance fields. Finally, using such a distance-based visibility representation, we integrate our visibility sampling algorithm in the all-frequency rendering framework for scenes with spatially varying BRDFs. With an entire GPU-based implementation, our algorithm enables interactive all-frequency rendering of moderate dynamic scenes with environment lighting and spatially varying reflectance.