Pattern image significance for camera calibration

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The image information from cameras can yield geometric information pertaining to three-dimensional objects by having camera parameters. Camera Calibration is a method for calculating the parameters of a pinhole camera model. Several methods used for camera calibration which are self-calibration, active vision, and known objects. Usually known object pattern uses calibration pattern such as chessboard. Furthermore, another important element is the number of image selection that also adheres better impact to overall of accuracy rate. Therefore, we categorize and explain each method in camera calibration in this paper. Finally, we show the significance of number of image and slope in camera calibration in several experimental result to justify our claim.

Original languageEnglish
Title of host publicationIEEE Student Conference on Research and Development
Subtitle of host publicationInspiring Technology for Humanity, SCOReD 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages456-460
Number of pages5
Volume2018-January
ISBN (Electronic)9781538621264
DOIs
Publication statusPublished - 28 Feb 2018
Event15th IEEE Student Conference on Research and Development, SCOReD 2017 - Putrajaya, Malaysia
Duration: 13 Dec 201714 Dec 2017

Other

Other15th IEEE Student Conference on Research and Development, SCOReD 2017
CountryMalaysia
CityPutrajaya
Period13/12/1714/12/17

Fingerprint

Cameras
cameras
Calibration
Pinhole cameras
pinhole cameras
slopes

Keywords

  • 3D
  • Adaptive parameter setting
  • Calibration pattern
  • Camera calibration
  • Geometry
  • Reconstruction

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation

Cite this

Pirahansiah, F., Sheikh Abdullah, S. N. H., & Sahran, S. (2018). Pattern image significance for camera calibration. In IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings (Vol. 2018-January, pp. 456-460). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCORED.2017.8305440

Pattern image significance for camera calibration. / Pirahansiah, Farshid; Sheikh Abdullah, Siti Norul Huda; Sahran, Shahnorbanun.

IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 456-460.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pirahansiah, F, Sheikh Abdullah, SNH & Sahran, S 2018, Pattern image significance for camera calibration. in IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 456-460, 15th IEEE Student Conference on Research and Development, SCOReD 2017, Putrajaya, Malaysia, 13/12/17. https://doi.org/10.1109/SCORED.2017.8305440
Pirahansiah F, Sheikh Abdullah SNH, Sahran S. Pattern image significance for camera calibration. In IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 456-460 https://doi.org/10.1109/SCORED.2017.8305440
Pirahansiah, Farshid ; Sheikh Abdullah, Siti Norul Huda ; Sahran, Shahnorbanun. / Pattern image significance for camera calibration. IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 456-460
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