Volume data expression and visualization based on multi-scale tensor approximation

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (36): 38-40.

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Volume data expression and visualization based on multi-scale tensor approximation

QIN Hongxing

College of Computer Science and Technology，Chongqing University of Posts and Telecommunications，Chongqing 400065，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-12-21 Published:2011-12-21

体数据的多尺度张量表达与可视化

秦红星

重庆邮电大学计算机科学与技术学院，重庆 400065

Abstract

Abstract: Real time volume visualization is supported by modern graphics hardware currently.However，with the development of scanning technology，the performance in GPU memory is still a bottleneck for large volume data visualization.Thus it is very important to find a compression method which can preserve volume feature.It is developed based on tensor approximation.The approach can be used for data compression based on multi-scale tensor approximation.At the same time，volume feature is preserved since compression base is extracted from data.The obtained results show that the approach is valid.

Key words: tensor approximation, multi-scale, volume data compression, volume visualization

摘要： 图形硬件的发展为实时体数据可视化提供了硬件保证，然而随着扫描技术的发展，大数据可视化仍然面临显存不足问题，因此研究保持数据特征的压缩表达方法就非常重要。应用张量近似思想建立了体数据的多尺度表达与可视化方法，一方面多尺度张量近似实现了数据压缩，解决了大数据的绘制问题;另一方面，张量近似的自适应压缩基保持了体数据的尺度特征。实验结果表明，该方法是有效的。

关键词: 张量近似, 多尺度, 体数据压缩, 体数据可视化

QIN Hongxing. Volume data expression and visualization based on multi-scale tensor approximation[J]. Computer Engineering and Applications, 2011, 47(36): 38-40.

秦红星. 体数据的多尺度张量表达与可视化[J]. 计算机工程与应用, 2011, 47(36): 38-40.

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Volume data expression and visualization based on multi-scale tensor approximation

体数据的多尺度张量表达与可视化

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