Difference between revisions of "3D SIFT VIEW"
From NAMIC Wiki
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<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
* Investigate methods for visualizing 3D feature location, scale, orientation and group label (e.g. diseased, healthy) | * Investigate methods for visualizing 3D feature location, scale, orientation and group label (e.g. diseased, healthy) | ||
| + | * Location, scale: spheres (markups), group labels: color/transparency | ||
* Visualization: Slicer Python module based on Slicer Markups | * Visualization: Slicer Python module based on Slicer Markups | ||
* Data preparation: c++ | * Data preparation: c++ | ||
Revision as of 19:05, 5 January 2015
Home < 3D SIFT VIEW
Key Investigators
- Matthew Toews BWH
- Raul San Jose BWH
- Steve Pieper BWH
- Nicole Aucoin BWH
- Andriy Fedorov, BWH
- William Wells BWH
Project Description
Objective
- Generate effective visualizations for 3D SIFT feature sets in Slicer.
Approach, Plan
- Investigate methods for visualizing 3D feature location, scale, orientation and group label (e.g. diseased, healthy)
- Location, scale: spheres (markups), group labels: color/transparency
- Visualization: Slicer Python module based on Slicer Markups
- Data preparation: c++
