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Proceedings Paper

Is pose-based pivot calibration superior to sphere fitting?
Author(s): Burton Ma; Niloofar Banihaveb; Joy Choi; Elvis C. S. Chen; Amber L. Simpson
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Paper Abstract

Calibrating a pointing stylus tracked via a dynamic reference frame (DRF) is often performed by pivoting the stylus on its tip in a divot located at a fixed position in the tracking system coordinate frame. The calibration problem is solved by estimating the location of the fixed divot position. Recent work (Yaniv,, Which pivot calibration?, Proceedings of SPIE Vol. 941527, 2015) provided evidence that solving the calibration problem using the measured poses of the stylus during pivoting is superior to fitting the measured position of the DRF during pivoting to a sphere. We constructed apparatus to acquire very high quality pivoting measurements over a much wider range of pivoting angles than could be obtained by pivoting in a divot. We tested pose-based calibration and sphere fitting and found that sphere fitting was as precise as (if not better than) pose-based calibration when using high-quality pivoting data. We performed a simple simulation where the stylus tip location deviated by a small amount during pivoting and found that the precision of sphere fitting degraded much more than pose-based calibration which suggests that pose-based calibration should be favored over sphere fitting when non-perfect pivoting is not possible.

Paper Details

Date Published: 27 March 2017
PDF: 8 pages
Proc. SPIE 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, 101351U (27 March 2017); doi: 10.1117/12.2256050
Show Author Affiliations
Burton Ma, York Univ. (Canada)
Niloofar Banihaveb, York Univ. (Canada)
Joy Choi, York Univ. (Canada)
Elvis C. S. Chen, Robarts Research Institute, Western Univ. (Canada)
Amber L. Simpson, Memorial Sloan-Kettering Cancer Ctr. (United States)


Published in SPIE Proceedings Vol. 10135:
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster; Baowei Fei, Editor(s)

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