A comparison of modified evolutionary computation algorithms with applications to three-dimensional endoscopic camera motion tracking

Xiongbiao Luo; Ying Wan; Xiangjian He

doi:10.1109/ICIP.2017.8297001

A comparison of modified evolutionary computation algorithms with applications to three-dimensional endoscopic camera motion tracking

Xiongbiao Luo, Ying Wan, Xiangjian He

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

3 Citations (Scopus)

Abstract

Endoscope 3D motion tracking plays an irreplaceable role for computer-assisted endoscopy systems development. Without such tracking, it is impossible to synchronize pre- and intraoperative images in a reference coordinate frame. Currently available methods are comprised of video-based and electromagnetic tracking. These methods limit to either video image artifacts or inaccurate sensor measurements and dynamic errors. This paper proposes two modified evolutionary computation algorithms: (a) adaptive particle swarm optimization (APSO) and (b) observation-boosted differential evolution (OBDE), to augment current endoscopic camera motion tracking. The experimental results demonstrate that our modified algorithms, which combine endoscopic video images with sensor measurements to estimate endoscope movements, can improve tracking accuracy from 4.8 mm to 2.9 mm. OBDE outperforms APSO for endoscope tracking.

Original language	English
Title of host publication	2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
Publisher	IEEE Computer Society
Pages	3840-3843
Number of pages	4
ISBN (Electronic)	9781509021758
DOIs	https://doi.org/10.1109/ICIP.2017.8297001
Publication status	Published - 2 Jul 2017
Externally published	Yes
Event	24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China Duration: 17 Sept 2017 → 20 Sept 2017

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	2017-September
ISSN (Print)	1522-4880

Conference

Conference	24th IEEE International Conference on Image Processing, ICIP 2017
Country/Territory	China
City	Beijing
Period	17/09/17 → 20/09/17

Keywords

Computer-assisted interventions
Differential evolution
Endoscope tracking and navigation
Evolutionary computation
Particle swarm optimization

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ICIP.2017.8297001

Cite this

Luo, X., Wan, Y., & He, X. (2017). A comparison of modified evolutionary computation algorithms with applications to three-dimensional endoscopic camera motion tracking. In 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings (pp. 3840-3843). (Proceedings - International Conference on Image Processing, ICIP; Vol. 2017-September). IEEE Computer Society. https://doi.org/10.1109/ICIP.2017.8297001

Luo, Xiongbiao ; Wan, Ying ; He, Xiangjian. / A comparison of modified evolutionary computation algorithms with applications to three-dimensional endoscopic camera motion tracking. 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE Computer Society, 2017. pp. 3840-3843 (Proceedings - International Conference on Image Processing, ICIP).

@inproceedings{929e2319985a480ba5fedfa070408161,

title = "A comparison of modified evolutionary computation algorithms with applications to three-dimensional endoscopic camera motion tracking",

abstract = "Endoscope 3D motion tracking plays an irreplaceable role for computer-assisted endoscopy systems development. Without such tracking, it is impossible to synchronize pre- and intraoperative images in a reference coordinate frame. Currently available methods are comprised of video-based and electromagnetic tracking. These methods limit to either video image artifacts or inaccurate sensor measurements and dynamic errors. This paper proposes two modified evolutionary computation algorithms: (a) adaptive particle swarm optimization (APSO) and (b) observation-boosted differential evolution (OBDE), to augment current endoscopic camera motion tracking. The experimental results demonstrate that our modified algorithms, which combine endoscopic video images with sensor measurements to estimate endoscope movements, can improve tracking accuracy from 4.8 mm to 2.9 mm. OBDE outperforms APSO for endoscope tracking.",

keywords = "Computer-assisted interventions, Differential evolution, Endoscope tracking and navigation, Evolutionary computation, Particle swarm optimization",

author = "Xiongbiao Luo and Ying Wan and Xiangjian He",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 24th IEEE International Conference on Image Processing, ICIP 2017 ; Conference date: 17-09-2017 Through 20-09-2017",

year = "2017",

month = jul,

day = "2",

doi = "10.1109/ICIP.2017.8297001",

language = "English",

series = "Proceedings - International Conference on Image Processing, ICIP",

publisher = "IEEE Computer Society",

pages = "3840--3843",

booktitle = "2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings",

address = "United States",

}

Luo, X, Wan, Y & He, X 2017, A comparison of modified evolutionary computation algorithms with applications to three-dimensional endoscopic camera motion tracking. in 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. Proceedings - International Conference on Image Processing, ICIP, vol. 2017-September, IEEE Computer Society, pp. 3840-3843, 24th IEEE International Conference on Image Processing, ICIP 2017, Beijing, China, 17/09/17. https://doi.org/10.1109/ICIP.2017.8297001

A comparison of modified evolutionary computation algorithms with applications to three-dimensional endoscopic camera motion tracking. / Luo, Xiongbiao; Wan, Ying; He, Xiangjian.
2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE Computer Society, 2017. p. 3840-3843 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2017-September).

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

TY - GEN

T1 - A comparison of modified evolutionary computation algorithms with applications to three-dimensional endoscopic camera motion tracking

AU - Luo, Xiongbiao

AU - Wan, Ying

AU - He, Xiangjian

PY - 2017/7/2

Y1 - 2017/7/2

N2 - Endoscope 3D motion tracking plays an irreplaceable role for computer-assisted endoscopy systems development. Without such tracking, it is impossible to synchronize pre- and intraoperative images in a reference coordinate frame. Currently available methods are comprised of video-based and electromagnetic tracking. These methods limit to either video image artifacts or inaccurate sensor measurements and dynamic errors. This paper proposes two modified evolutionary computation algorithms: (a) adaptive particle swarm optimization (APSO) and (b) observation-boosted differential evolution (OBDE), to augment current endoscopic camera motion tracking. The experimental results demonstrate that our modified algorithms, which combine endoscopic video images with sensor measurements to estimate endoscope movements, can improve tracking accuracy from 4.8 mm to 2.9 mm. OBDE outperforms APSO for endoscope tracking.

AB - Endoscope 3D motion tracking plays an irreplaceable role for computer-assisted endoscopy systems development. Without such tracking, it is impossible to synchronize pre- and intraoperative images in a reference coordinate frame. Currently available methods are comprised of video-based and electromagnetic tracking. These methods limit to either video image artifacts or inaccurate sensor measurements and dynamic errors. This paper proposes two modified evolutionary computation algorithms: (a) adaptive particle swarm optimization (APSO) and (b) observation-boosted differential evolution (OBDE), to augment current endoscopic camera motion tracking. The experimental results demonstrate that our modified algorithms, which combine endoscopic video images with sensor measurements to estimate endoscope movements, can improve tracking accuracy from 4.8 mm to 2.9 mm. OBDE outperforms APSO for endoscope tracking.

KW - Computer-assisted interventions

KW - Differential evolution

KW - Endoscope tracking and navigation

KW - Evolutionary computation

KW - Particle swarm optimization

UR - http://www.scopus.com/inward/record.url?scp=85045335567&partnerID=8YFLogxK

U2 - 10.1109/ICIP.2017.8297001

DO - 10.1109/ICIP.2017.8297001

M3 - Conference contribution

AN - SCOPUS:85045335567

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 3840

EP - 3843

BT - 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings

PB - IEEE Computer Society

T2 - 24th IEEE International Conference on Image Processing, ICIP 2017

Y2 - 17 September 2017 through 20 September 2017

ER -

Luo X, Wan Y, He X. A comparison of modified evolutionary computation algorithms with applications to three-dimensional endoscopic camera motion tracking. In 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE Computer Society. 2017. p. 3840-3843. (Proceedings - International Conference on Image Processing, ICIP). doi: 10.1109/ICIP.2017.8297001

A comparison of modified evolutionary computation algorithms with applications to three-dimensional endoscopic camera motion tracking

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this