Difference between revisions of "Documentation/Nightly/Extensions/TrackerStabilizer"
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| − | + | {{documentation/modulename}} module allows to output a filtered transform node based on an tracker input (transform node). Tracking sensors are really usefull to track surgical tools, robots, patient motion, etc... . However, the data imported in 3D Slicer from these devices are often noisy. In order to reduce this noise and being able to smoothly control some object, such as 3D Slicer camera, the {{documentation/modulename}} module will apply a low-pass filter on input data. The cut-off frequency (i.e. the smoothing parameter) is adjustable by the user. | |
| + | It is important to notice that filters induce delay, and the smoother the motion is, the bigger the delay between the raw data and the filtered position will be. | ||
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Revision as of 16:54, 5 February 2013
Home < Documentation < Nightly < Extensions < TrackerStabilizerIntroduction and Acknowledgements
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This work is supported by NA-MIC, NCIGT, and the Slicer Community. This work is supported by P01-CA67165 "Image Guided Therapy" (PI: Ferenc Joelsz) | |||||||
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Module Description
TrackerStabilizer module allows to output a filtered transform node based on an tracker input (transform node). Tracking sensors are really usefull to track surgical tools, robots, patient motion, etc... . However, the data imported in 3D Slicer from these devices are often noisy. In order to reduce this noise and being able to smoothly control some object, such as 3D Slicer camera, the TrackerStabilizer module will apply a low-pass filter on input data. The cut-off frequency (i.e. the smoothing parameter) is adjustable by the user. It is important to notice that filters induce delay, and the smoother the motion is, the bigger the delay between the raw data and the filtered position will be.
Use Cases
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Tutorials
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Panels and their use
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Similar Modules
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References
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Information for Developers
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Section under construction. |
