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Perceptually Guided Corrective Splatting


Haber,  Jörg
Computer Graphics, MPI for Informatics, Max Planck Society;

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

Yamauchi,  Hitoshi
Computer Graphics, MPI for Informatics, Max Planck Society;

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

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Haber, J., Myszkowski, K., Yamauchi, H., & Seidel, H.-P. (2001). Perceptually Guided Corrective Splatting. In A. Chalmers, & T.-M. Rhyne (Eds.), The European Association for Computer Graphics 22th Annual Conference: EUROGRAPHICS 2001 (pp. C142-C152). Oxford, UK: Blackwell.

One of the basic difficulties with interactive walkthroughs is the high quality rendering of object surfaces with non-diffuse light scattering characteristics. Since full ray tracing at interactive rates is usually impossible, we render a precomputed global illumination solution using graphics hardware and use remaining computational power to correct the appearance of non-diffuse objects on-the-fly. The question arises, how to obtain the best image quality as perceived by a human observer within a limited amount of time for each frame. We address this problem by enforcing corrective computation for those non-diffuse objects that are selected using a computational model of visual attention. We consider both the saliency- and task-driven selection of those objects and benefit from the fact that shading artifacts of ``unattended'' objects are likely to remain unnoticed. We use a hierarchical image-space sampling scheme to control ray tracing and splat the generated point samples. The resulting image converges progressively to a ray traced solution if the viewing parameters remain unchanged. Moreover, we use a sample cache to enhance visual appearance if the time budget for correction has been too low for some frame. We check the validity of the cached samples using a novel criterion suited for non-diffuse surfaces and reproject valid samples into the current view.