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Erschienen in: International Journal of Computer Assisted Radiology and Surgery 7/2017

19.04.2017 | Original Article

Hand-eye calibration for surgical cameras: a Procrustean Perspective-n-Point solution

verfasst von: Isabella Morgan, Uditha Jayarathne, Adam Rankin, Terry M. Peters, Elvis C. S. Chen

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 7/2017

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Abstract

Purpose

Surgical cameras are prevalent in modern operating theatres often used as surrogates for direct vision. A surgical navigational system is a useful adjunct, but requires an accurate “hand-eye” calibration to determine the geometrical relationship between the surgical camera and tracking markers.

Methods

Using a tracked ball-tip stylus, we formulated hand-eye calibration as a Perspective-n-Point problem, which can be solved efficiently and accurately using as few as 15 measurements.

Results

The proposed hand-eye calibration algorithm was applied to three types of camera and validated against five other widely used methods. Using projection error as the accuracy metric, our proposed algorithm compared favourably with existing methods.

Conclusion

We present a fully automated hand-eye calibration technique, based on Procrustean point-to-line registration, which provides superior results for calibrating surgical cameras when compared to existing methods.

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Metadaten
Titel
Hand-eye calibration for surgical cameras: a Procrustean Perspective-n-Point solution
verfasst von
Isabella Morgan
Uditha Jayarathne
Adam Rankin
Terry M. Peters
Elvis C. S. Chen
Publikationsdatum
19.04.2017
Verlag
Springer International Publishing
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 7/2017
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-017-1590-9

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