A unified framework for exploring time-varying volumetric data based on block correspondence
Effective exploration of spatiotemporal volumetric data sets remains a key challenge in scientific visualization. Although great advances have been made over the years, existing solutions typically focus on only one or two aspects of data analysis and visualization. A streamlined workflow for analyz...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-12-01
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| Series: | Visual Informatics |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468502X19300464 |