Adaptive Screen-Space Sampling for Volume Ray-Casting

Please always quote using this URN: urn:nbn:de:0297-zib-12446
  • This work is concerned with adaptive screen-space sampling for volume ray-casting. The goal is to reduce the number of rays being cast into the scene and, thus, the overall number of sampling points. We guarantee reliable images through explicit error control using an error estimator that is founded in the field of finite element methods (FEM). FEM theory further provides a well-founded theory to prove the efficiency of the presented algorithm via convergence analysis. We, therefore, compare the convergence behavior of our method against uniform subdivisions and a refinement scheme that was presented in the context of CPU volume ray-casting. Minimizing the number of sampling points is of interest for rendering large datasets where each evaluation might need an expensive decompression. Furthermore, with increasing screen resolutions high-resolution images are created more efficiently with our method.

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Author:Andrea Kratz, Jan Reininghaus, Markus Hadwiger, Ingrid Hotz
Document Type:ZIB-Report
Date of first Publication:2011/03/17
Series (Serial Number):ZIB-Report (11-04)