Self-calibrated Surface Acquisition for Integrated
Positioning Verification in Medical Applications
S. Jörissen, M. Bleier, and A. Nüchter. Proceedings of the IS&T International Symposium on Electronic Imaging Science and Technology, page 353-1--353-8. San Francisco, CA, USA, Society for Imaging Science and Technology, (January 2019)
DOI: 10.2352/ISSN.2470-1173.2019.4.PMII-353
Abstract
This paper presents a novel approach for a position
verification system in medical applications. By
replacing the already existing cross line laser
projectors with galvo- or MEMS-based projectors and
utilizing the surveillance cameras, a
self-calibration of the system is performed and
surface acquisition for positioning verification is
demonstrated. The functionality is shown by
analyzing the radii of calibration spheres and
determining the quality of the captured surface with
respect to a reference model. The paper focuses on
the demonstration with one pair of camera and
projector but can also be extended to a
multi-camera-projector system, as present in
treatment rooms. Compared to other systems, this
approach does not need external hardware and is thus
space and cost efficient.
%0 Conference Paper
%1 EI2019
%A Jörissen, S.
%A Bleier, M.
%A Nüchter, A.
%B Proceedings of the IS&T International Symposium on Electronic Imaging Science and Technology
%C San Francisco, CA, USA
%D 2019
%I Society for Imaging Science and Technology
%K myown
%P 353-1--353-8
%R 10.2352/ISSN.2470-1173.2019.4.PMII-353
%T Self-calibrated Surface Acquisition for Integrated
Positioning Verification in Medical Applications
%U https://robotik.informatik.uni-wuerzburg.de/telematics/download/ei2019.pdf
%X This paper presents a novel approach for a position
verification system in medical applications. By
replacing the already existing cross line laser
projectors with galvo- or MEMS-based projectors and
utilizing the surveillance cameras, a
self-calibration of the system is performed and
surface acquisition for positioning verification is
demonstrated. The functionality is shown by
analyzing the radii of calibration spheres and
determining the quality of the captured surface with
respect to a reference model. The paper focuses on
the demonstration with one pair of camera and
projector but can also be extended to a
multi-camera-projector system, as present in
treatment rooms. Compared to other systems, this
approach does not need external hardware and is thus
space and cost efficient.
@inproceedings{EI2019,
abstract = {This paper presents a novel approach for a position
verification system in medical applications. By
replacing the already existing cross line laser
projectors with galvo- or MEMS-based projectors and
utilizing the surveillance cameras, a
self-calibration of the system is performed and
surface acquisition for positioning verification is
demonstrated. The functionality is shown by
analyzing the radii of calibration spheres and
determining the quality of the captured surface with
respect to a reference model. The paper focuses on
the demonstration with one pair of camera and
projector but can also be extended to a
multi-camera-projector system, as present in
treatment rooms. Compared to other systems, this
approach does not need external hardware and is thus
space and cost efficient.},
added-at = {2019-02-07T10:41:11.000+0100},
address = {San Francisco, CA, USA},
author = {J{\"o}rissen, S. and Bleier, M. and N{\"u}chter, A.},
biburl = {https://www.bibsonomy.org/bibtex/247789ab91be87db395734685bddcbc58/nuechter76},
booktitle = {Proceedings of the IS\&T International Symposium on Electronic Imaging Science and Technology},
doi = {10.2352/ISSN.2470-1173.2019.4.PMII-353},
interhash = {c316d5f98f814c2cf6d59d0fa00a3d7b},
intrahash = {47789ab91be87db395734685bddcbc58},
keywords = {myown},
month = {January},
pages = {353-1--353-8},
publisher = {Society for Imaging Science and Technology},
series = {Electronic Imaging},
timestamp = {2019-02-07T10:41:11.000+0100},
title = {{Self-calibrated Surface Acquisition for Integrated
Positioning Verification in Medical Applications}},
url = {https://robotik.informatik.uni-wuerzburg.de/telematics/download/ei2019.pdf},
year = 2019
}