Block Division with Fast Cubic B-spline Reconstruction
نویسندگان
چکیده
In the recent years, the high performance computing (HPC) environment has been improved. Thus, the volume dataset generated from HPC often resulted in the high resolution with respect to the spatial and temporal dimension. This situation requires a good visualization method, which can handle such a large-scale volume dataset. In this paper, we propose a volume reconstruction method that employs tetrahedral cells generated at each sub-volume. The sub-volume is defined by applying a blocking operation to an original volume with a block size. Additional vertices in the tetrahedral cells are calculated by using a cubic b-spline interpolation function calculated in an original volume. We confirmed the effectiveness by calculating a compression ratio for time-varying volume dataset.
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