Difference between revisions of "2014 Summer Project Week:Invariant Feature Extraction Slicer"
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Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]] | Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]] | ||
</gallery> | </gallery> | ||
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| + | [[File:InvariantImageFeatureExtraction.png|400px]] | ||
| + | <br> | ||
| + | [[File:InvariantFeatureSlicerModule.png|400px]] | ||
==Key Investigators== | ==Key Investigators== | ||
* Matthew Toews (Harvard Medical School) | * Matthew Toews (Harvard Medical School) | ||
* Nicole Aucoin (Harvard Medical School) | * Nicole Aucoin (Harvard Medical School) | ||
| + | * Hans Johnson (University of Iowa) | ||
* William Wells (Harvard Medical School) | * William Wells (Harvard Medical School) | ||
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<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
| − | *Implementations will take the form of command line modules. | + | *Implementations will take the form of Slicer command line modules. We will start with image feature extraction, then matching. |
| + | *Design of a useful interface will be a focus. | ||
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Progress</h3> | <h3>Progress</h3> | ||
| − | * | + | *Two slicer command line modules were developed for scale-invariant feature extraction and matching. |
| + | *Feature extraction module is tested and working, matching will require testing and development. | ||
</div> | </div> | ||
</div> | </div> | ||
Latest revision as of 11:52, 27 June 2014
Home < 2014 Summer Project Week:Invariant Feature Extraction Slicer
Key Investigators
- Matthew Toews (Harvard Medical School)
- Nicole Aucoin (Harvard Medical School)
- Hans Johnson (University of Iowa)
- William Wells (Harvard Medical School)
Project Description
Objective
- This project will focus on implementing 3D scale-invariant feature extraction and alignment in Slicer.
Approach, Plan
- Implementations will take the form of Slicer command line modules. We will start with image feature extraction, then matching.
- Design of a useful interface will be a focus.
Progress
- Two slicer command line modules were developed for scale-invariant feature extraction and matching.
- Feature extraction module is tested and working, matching will require testing and development.
