Interactive directional ambient occlusion and shadow computations for volume ray casting

•Method to compute directional ambient occlusion and shadows for volume ray casting.•Realistic volume rendering at interactive framerate based on cone tracing.•Transparency computation based on Gaussian integrals at samples along cone axis.•Directional ambient occlusion and shadows under the same fr...

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Veröffentlicht in:Computers & graphics 2019-11, Vol.84, p.66-76
Hauptverfasser: Campagnolo, Leonardo Q., Celes, Waldemar
Format: Artikel
Sprache:eng
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Zusammenfassung:•Method to compute directional ambient occlusion and shadows for volume ray casting.•Realistic volume rendering at interactive framerate based on cone tracing.•Transparency computation based on Gaussian integrals at samples along cone axis.•Directional ambient occlusion and shadows under the same framework. [Display omitted] Volume rendering is a widely used technique to visualize 3D scalar data. To enhance visual shape and depth perception, distinct illumination techniques have been proposed, adding different types of lighting effects. In this paper, we explore a new strategy to compute directional ambient occlusion and shadows for volume ray casting to render structured datasets. Our algorithm computes occlusion of traced cones by evaluating Gaussian integrals at discrete samples along the cone axis. The computed occlusion is then used to add directional ambient occlusion effects and to generate shadows. Given the extinction coefficient data volume, we create one extra volume computing representative amplitudes of Gaussian functions. Mipmapping is then used to effectively evaluate Gaussian integrals with different sizes placed along the cone axis, adapting a circle packing approach. We demonstrate that the proposed method delivers a better balance between quality results and performance when compared to previous specialized procedures, with the advantage of combining directional ambient occlusion and shadow generation under the same framework.
ISSN:0097-8493
1873-7684
DOI:10.1016/j.cag.2019.08.009