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FeatureLego: Volume Exploration Using Exhaustive Clustering of Super-Voxels
We present a volume exploration framework, FeatureLego, that uses a novel voxel clustering approach for efficient selection of semantic features. We partition the input volume into a set of compact super-voxels that represent the finest selection granularity. We then perform an exhaustive clustering...
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| 發表在: | IEEE Trans Vis Comput Graph |
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| Main Authors: | , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2018
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6703906/ https://ncbi.nlm.nih.gov/pubmed/30028709 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TVCG.2018.2856744 |
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