Name
Abstract | ||
|---|---|---|
We present a saliency-aware volume resizing operation called surface carving, which intelligently removes contextual voxels while preserving important features. By iteratively applying surface carving in all directions, we can create a volume of the desired size. For large volume data sets, a multilevel banded method is introduced to gracefully overcome the memory limit and speed up volume resizing. We compare our technique with traditionally cropping and scaling approaches and demonstrate the effectiveness and efficiency of our method with several volume data sets. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CADGraphics.2013.90 | CAD/Graphics |
Keywords | Field | DocType |
volume resizing,saliency-aware volume data resizing,saliency-aware volume,memory limit,volume data set,large volume data set,surface carving,data resizing,saliency-aware volume resizing operation,data visualisation,data reduction,contextual voxels,multilevel banded method,important feature,saliency aware,memory management,manifolds,transfer functions | Voxel,Computer vision,Carving,Data set,Data visualization,Resizing,Computer science,Salience (neuroscience),Memory management,Artificial intelligence,Speedup | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qichao Wang | 1 | 5 | 1.45 |
| Yubo Tao | 2 | 109 | 22.51 |
| Hai Lin | 3 | 142 | 29.61 |