Data quality estimation from interdependencies for structured light scanners

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • E. Reithmeier
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksComputational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013
Herausgeber/-innenJoão Manuel, R.S. Tavares, R.M. Natal Jorge
Seiten191-196
Seitenumfang6
PublikationsstatusVeröffentlicht - 2014
Veranstaltung4th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013 - Funchal, Portugal
Dauer: 14 Okt. 201316 Okt. 2014

Publikationsreihe

NameComputational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013

Abstract

In production metrology structured light scanners are widely used for the analysis of geometrical deviations of work-pieces. With the working principle of active triangulation the geometry can be digitized with high speed and precision. The active triangulation relies on a bijective mapping of projector—and camera pixels from a sequence of projected patterns. Especially on shiny and concave surfaces this one to one mapping is hard to calculate because of multi-reflections. With a test regarding this bijectivety a quality criterion is introduced to prevent the use of false 3D data. The criterion is tested on the scan of a reference work-piece with two crossing concave groves. Finally, a semi-manual method is shown to enhance the quality of the scanning by subdividing the surface for partial scans.

ASJC Scopus Sachgebiete

Zitieren

Data quality estimation from interdependencies for structured light scanners. / Reithmeier, E.
Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013. Hrsg. / João Manuel; R.S. Tavares; R.M. Natal Jorge. 2014. S. 191-196 (Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Reithmeier, E 2014, Data quality estimation from interdependencies for structured light scanners. in J Manuel, RS Tavares & RMN Jorge (Hrsg.), Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013. Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013, S. 191-196, 4th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013, Funchal, Portugal, 14 Okt. 2013.
Reithmeier, E. (2014). Data quality estimation from interdependencies for structured light scanners. In J. Manuel, R. S. Tavares, & R. M. N. Jorge (Hrsg.), Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013 (S. 191-196). (Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013).
Reithmeier E. Data quality estimation from interdependencies for structured light scanners. in Manuel J, Tavares RS, Jorge RMN, Hrsg., Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013. 2014. S. 191-196. (Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013).
Reithmeier, E. / Data quality estimation from interdependencies for structured light scanners. Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013. Hrsg. / João Manuel ; R.S. Tavares ; R.M. Natal Jorge. 2014. S. 191-196 (Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013).
Download
@inproceedings{0cd08f7e4bf749afb3cf0caa363e3c47,
title = "Data quality estimation from interdependencies for structured light scanners",
abstract = "In production metrology structured light scanners are widely used for the analysis of geometrical deviations of work-pieces. With the working principle of active triangulation the geometry can be digitized with high speed and precision. The active triangulation relies on a bijective mapping of projector—and camera pixels from a sequence of projected patterns. Especially on shiny and concave surfaces this one to one mapping is hard to calculate because of multi-reflections. With a test regarding this bijectivety a quality criterion is introduced to prevent the use of false 3D data. The criterion is tested on the scan of a reference work-piece with two crossing concave groves. Finally, a semi-manual method is shown to enhance the quality of the scanning by subdividing the surface for partial scans.",
author = "E. Reithmeier",
note = "Funding information: This research was partially supported by a grant (60403011) from National Natural Science Foundation of China, and grants (2003ABA012) and (20045006071-17) from Science &Technology Department, Hubei Province and the People{\textquoteright}s Municipal Government of Wuhan respectively, China. This research was also supported by the grants (RGC and FRG) from Hong Kong Baptist University and Hubei University.; 4th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013 ; Conference date: 14-10-2013 Through 16-10-2014",
year = "2014",
language = "English",
isbn = "9781138000810",
series = "Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013",
pages = "191--196",
editor = "Jo{\~a}o Manuel and R.S. Tavares and Jorge, {R.M. Natal}",
booktitle = "Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013",

}

Download

TY - GEN

T1 - Data quality estimation from interdependencies for structured light scanners

AU - Reithmeier, E.

N1 - Funding information: This research was partially supported by a grant (60403011) from National Natural Science Foundation of China, and grants (2003ABA012) and (20045006071-17) from Science &Technology Department, Hubei Province and the People’s Municipal Government of Wuhan respectively, China. This research was also supported by the grants (RGC and FRG) from Hong Kong Baptist University and Hubei University.

PY - 2014

Y1 - 2014

N2 - In production metrology structured light scanners are widely used for the analysis of geometrical deviations of work-pieces. With the working principle of active triangulation the geometry can be digitized with high speed and precision. The active triangulation relies on a bijective mapping of projector—and camera pixels from a sequence of projected patterns. Especially on shiny and concave surfaces this one to one mapping is hard to calculate because of multi-reflections. With a test regarding this bijectivety a quality criterion is introduced to prevent the use of false 3D data. The criterion is tested on the scan of a reference work-piece with two crossing concave groves. Finally, a semi-manual method is shown to enhance the quality of the scanning by subdividing the surface for partial scans.

AB - In production metrology structured light scanners are widely used for the analysis of geometrical deviations of work-pieces. With the working principle of active triangulation the geometry can be digitized with high speed and precision. The active triangulation relies on a bijective mapping of projector—and camera pixels from a sequence of projected patterns. Especially on shiny and concave surfaces this one to one mapping is hard to calculate because of multi-reflections. With a test regarding this bijectivety a quality criterion is introduced to prevent the use of false 3D data. The criterion is tested on the scan of a reference work-piece with two crossing concave groves. Finally, a semi-manual method is shown to enhance the quality of the scanning by subdividing the surface for partial scans.

UR - http://www.scopus.com/inward/record.url?scp=84973109381&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84973109381

SN - 9781138000810

T3 - Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013

SP - 191

EP - 196

BT - Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013

A2 - Manuel, João

A2 - Tavares, R.S.

A2 - Jorge, R.M. Natal

T2 - 4th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013

Y2 - 14 October 2013 through 16 October 2014

ER -