Abstract
Nowadays, even though the GPU could keep up with the growing amount of volume data by boosting computation performance, the transfer bandwidth between different hardware may become insufficient especially for rendering the high-resolution volume data, which results in an important problem. This problem becomes even more conspicuous for the time-varying volume data. To overcome this bottleneck, we propose a volume compression scheme 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 at the tetrahedral cells are calculated by using the fast cubic b-spline evaluation function calculated from the original volume. We confirm the effectiveness of our compression scheme by applying it to a volume dataset which is composed of 480×720×120×122 voxels.
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Zhao, K., Sakamoto, N., Koyamada, K. (2012). A Volume Compression Scheme Based on Block Division with Fast Cubic B-spline Evaluation. In: Xiao, T., Zhang, L., Fei, M. (eds) AsiaSim 2012. AsiaSim 2012. Communications in Computer and Information Science, vol 325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34387-2_43
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DOI: https://doi.org/10.1007/978-3-642-34387-2_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34386-5
Online ISBN: 978-3-642-34387-2
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