Literature DB >> 16144253

Faster isosurface ray tracing using implicit KD-trees.

Ingo Wald1, Heiko Friedrich, Gerd Marmitt, Philipp Slusallek, Hans-Peter Seidel.   

Abstract

The visualization of high-quality isosurfaces at interactive rates is an important tool in many simulation and visualization applications. Today, isosurfaces are most often visualized by extracting a polygonal approximation that is then rendered via graphics hardware or by using a special variant of preintegrated volume rendering. However, these approaches have a number of limitations in terms of the quality of the isosurface, lack of performance for complex data sets, or supported shading models. An alternative isosurface rendering method that does not suffer from these limitations is to directly ray trace the isosurface. However, this approach has been much too slow for interactive applications unless massively parallel shared-memory supercomputers have been used. In this paper, we implement interactive isosurface ray tracing on commodity desktop PCs by building on recent advances in real-time ray tracing of polygonal scenes and using those to improve isosurface ray tracing performance as well. The high performance and scalability of our approach will be demonstrated with several practical examples, including the visualization of highly complex isosurface data sets, the interactive rendering of hybrid polygonal/isosurface scenes, including high-quality ray traced shading effects, and even interactive global illumination on isosurfaces.

Mesh:

Year:  2005        PMID: 16144253     DOI: 10.1109/TVCG.2005.79

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  4 in total

1.  A survey of GPU-based medical image computing techniques.

Authors:  Lin Shi; Wen Liu; Heye Zhang; Yongming Xie; Defeng Wang
Journal:  Quant Imaging Med Surg       Date:  2012-09

2.  Scalable isosurface visualization of massive datasets on commodity off-the-shelf clusters.

Authors:  Xiaoyu Zhang; Chandrajit Bajaj
Journal:  J Parallel Distrib Comput       Date:  2009-01-01       Impact factor: 3.734

3.  Visualizing simulated electrical fields from electroencephalography and transcranial electric brain stimulation: a comparative evaluation.

Authors:  Sebastian Eichelbaum; Moritz Dannhauer; Mario Hlawitschka; Dana Brooks; Thomas R Knösche; Gerik Scheuermann
Journal:  Neuroimage       Date:  2014-05-10       Impact factor: 6.556

4.  CPU Isosurface Ray Tracing of Adaptive Mesh Refinement Data.

Authors:  Feng Wang; Ingo Wald; Qi Wu; Will Usher; Chris R Johnson
Journal:  IEEE Trans Vis Comput Graph       Date:  2018-10-16       Impact factor: 4.579

  4 in total

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