Outliers in 3D point clouds applied to efficient image-guided localization

Ekaterina Sirazitdinova; Stephan M. Jonas; Deyvid Kochanov; Jan Lensen; Richard Houben; Hans Slijp; Thomas M. Deserno

doi:10.1007/978-3-662-46224-9_35

Outliers in 3D point clouds applied to efficient image-guided localization

Ekaterina Sirazitdinova
, Stephan M. Jonas
, Deyvid Kochanov
, Jan Lensen
, Richard Houben
, Hans Slijp
, Thomas M. Deserno

RWTH Aachen University
Applied Biomedical Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this work, the tasks of improving positioning efficiency and minimization of space requirements in image-based navigation are explored. We proved the assumption that it is possible to reduce imagematching time and to increase storage capacities by removing outliers from 3D models used for localization, by applying three outlier removal methods to our datasets and observing the localization associated with the resulting models.

Original language	English
Title of host publication	Bildverarbeitung fur die Medizin 2015
Subtitle of host publication	Algorithmen - Systeme - Anwendungen, Proceedings des Workshops, 2015
Editors	Thomas Martin Deserno, Thomas Tolxdorff, Heinz Handels, Hans-Peter Meinzer
Publisher	Kluwer Academic Publishers
Pages	197-202
Number of pages	6
ISBN (Print)	9783662462232
DOIs	https://doi.org/10.1007/978-3-662-46224-9_35
State	Published - 2015
Externally published	Yes
Event	Workshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications - Lubeck, Germany Duration: 15 Mar 2015 → 17 Mar 2015

Publication series

Name	Informatik aktuell
ISSN (Print)	1431-472X

Conference

Conference	Workshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications
Country/Territory	Germany
City	Lubeck
Period	15/03/15 → 17/03/15

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10.1007/978-3-662-46224-9_35

Cite this

Sirazitdinova, E., Jonas, S. M., Kochanov, D., Lensen, J., Houben, R., Slijp, H., & Deserno, T. M. (2015). Outliers in 3D point clouds applied to efficient image-guided localization. In T. M. Deserno, T. Tolxdorff, H. Handels, & H.-P. Meinzer (Eds.), Bildverarbeitung fur die Medizin 2015: Algorithmen - Systeme - Anwendungen, Proceedings des Workshops, 2015 (pp. 197-202). (Informatik aktuell). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-662-46224-9_35

Sirazitdinova, Ekaterina ; Jonas, Stephan M. ; Kochanov, Deyvid et al. / Outliers in 3D point clouds applied to efficient image-guided localization. Bildverarbeitung fur die Medizin 2015: Algorithmen - Systeme - Anwendungen, Proceedings des Workshops, 2015. editor / Thomas Martin Deserno ; Thomas Tolxdorff ; Heinz Handels ; Hans-Peter Meinzer. Kluwer Academic Publishers, 2015. pp. 197-202 (Informatik aktuell).

@inproceedings{44d48309d2ce4bf09b5ee054c66b8dd7,

title = "Outliers in 3D point clouds applied to efficient image-guided localization",

abstract = "In this work, the tasks of improving positioning efficiency and minimization of space requirements in image-based navigation are explored. We proved the assumption that it is possible to reduce imagematching time and to increase storage capacities by removing outliers from 3D models used for localization, by applying three outlier removal methods to our datasets and observing the localization associated with the resulting models.",

author = "Ekaterina Sirazitdinova and Jonas, \{Stephan M.\} and Deyvid Kochanov and Jan Lensen and Richard Houben and Hans Slijp and Deserno, \{Thomas M.\}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; Workshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications ; Conference date: 15-03-2015 Through 17-03-2015",

year = "2015",

doi = "10.1007/978-3-662-46224-9\_35",

language = "English",

isbn = "9783662462232",

series = "Informatik aktuell",

publisher = "Kluwer Academic Publishers",

pages = "197--202",

editor = "Deserno, \{Thomas Martin\} and Thomas Tolxdorff and Heinz Handels and Hans-Peter Meinzer",

booktitle = "Bildverarbeitung fur die Medizin 2015",

}

Sirazitdinova, E, Jonas, SM, Kochanov, D, Lensen, J, Houben, R, Slijp, H & Deserno, TM 2015, Outliers in 3D point clouds applied to efficient image-guided localization. in TM Deserno, T Tolxdorff, H Handels & H-P Meinzer (eds), Bildverarbeitung fur die Medizin 2015: Algorithmen - Systeme - Anwendungen, Proceedings des Workshops, 2015. Informatik aktuell, Kluwer Academic Publishers, pp. 197-202, Workshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications, Lubeck, Germany, 15/03/15. https://doi.org/10.1007/978-3-662-46224-9_35

Outliers in 3D point clouds applied to efficient image-guided localization. / Sirazitdinova, Ekaterina; Jonas, Stephan M.; Kochanov, Deyvid et al.
Bildverarbeitung fur die Medizin 2015: Algorithmen - Systeme - Anwendungen, Proceedings des Workshops, 2015. ed. / Thomas Martin Deserno; Thomas Tolxdorff; Heinz Handels; Hans-Peter Meinzer. Kluwer Academic Publishers, 2015. p. 197-202 (Informatik aktuell).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Outliers in 3D point clouds applied to efficient image-guided localization

AU - Sirazitdinova, Ekaterina

AU - Jonas, Stephan M.

AU - Kochanov, Deyvid

AU - Lensen, Jan

AU - Houben, Richard

AU - Slijp, Hans

AU - Deserno, Thomas M.

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2015.

PY - 2015

Y1 - 2015

N2 - In this work, the tasks of improving positioning efficiency and minimization of space requirements in image-based navigation are explored. We proved the assumption that it is possible to reduce imagematching time and to increase storage capacities by removing outliers from 3D models used for localization, by applying three outlier removal methods to our datasets and observing the localization associated with the resulting models.

AB - In this work, the tasks of improving positioning efficiency and minimization of space requirements in image-based navigation are explored. We proved the assumption that it is possible to reduce imagematching time and to increase storage capacities by removing outliers from 3D models used for localization, by applying three outlier removal methods to our datasets and observing the localization associated with the resulting models.

UR - https://www.scopus.com/pages/publications/85012191622

U2 - 10.1007/978-3-662-46224-9_35

DO - 10.1007/978-3-662-46224-9_35

M3 - Conference contribution

AN - SCOPUS:85012191622

SN - 9783662462232

T3 - Informatik aktuell

SP - 197

EP - 202

BT - Bildverarbeitung fur die Medizin 2015

A2 - Deserno, Thomas Martin

A2 - Tolxdorff, Thomas

A2 - Handels, Heinz

A2 - Meinzer, Hans-Peter

PB - Kluwer Academic Publishers

T2 - Workshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications

Y2 - 15 March 2015 through 17 March 2015

ER -

Sirazitdinova E, Jonas SM, Kochanov D, Lensen J, Houben R, Slijp H et al. Outliers in 3D point clouds applied to efficient image-guided localization. In Deserno TM, Tolxdorff T, Handels H, Meinzer HP, editors, Bildverarbeitung fur die Medizin 2015: Algorithmen - Systeme - Anwendungen, Proceedings des Workshops, 2015. Kluwer Academic Publishers. 2015. p. 197-202. (Informatik aktuell). doi: 10.1007/978-3-662-46224-9_35

Outliers in 3D point clouds applied to efficient image-guided localization

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