Preliminary tests of camera self-calibration by wavelet-based additional parameters

Jun Fu Ye, Jaan-Rong Tsay

Research output: Contribution to conferencePaper

Abstract

Camera calibration is an important issue in photogrammetry. Self-calibration by additional parameters is the most famous method to calibrate various types of cameras. Traditional algebraic polynomial additional parameters were proposed for analogue single-head camera calibration, and they are later also applied to diverse digital cameras. However, many different types of metric and non-metric cameras are widely used in photogrammetry and computer vision. Traditional algebraic polynomial additional parameters might not be suitable for self-calibration of these diverse types of cameras. In addition, many additional parameters might be highly correlated with interior orientation parameters or other correction parameters. A new generation of additional parameters based on Fourier series overcomes these shortcomings, but they are not suitable for analyzing and representing nonstationary distortion signals. This study develops a new model of wavelets-based additional parameters as well as its computation program system for self-calibrated bundle block adjustment. Preliminary tests are done by using aerial images in a calibration field. Their computation results demonstrate that wavelet additional parameters are helpful for correcting camera lens distortion. More details are shown in this paper.

Original languageEnglish
Pages2034-2043
Number of pages10
Publication statusPublished - 2018 Jan 1
Event39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018 - Kuala Lumpur, Malaysia
Duration: 2018 Oct 152018 Oct 19

Conference

Conference39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018
CountryMalaysia
CityKuala Lumpur
Period18-10-1518-10-19

Fingerprint

wavelet
Cameras
Calibration
calibration
Photogrammetry
Polynomials
Camera lenses
Signal distortion
photogrammetry
Fourier series
Digital cameras
Computer vision
test
parameter
computer vision
Antennas

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Earth and Planetary Sciences(all)
  • Computer Networks and Communications

Cite this

Ye, J. F., & Tsay, J-R. (2018). Preliminary tests of camera self-calibration by wavelet-based additional parameters. 2034-2043. Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.
Ye, Jun Fu ; Tsay, Jaan-Rong. / Preliminary tests of camera self-calibration by wavelet-based additional parameters. Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.10 p.
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Ye, JF & Tsay, J-R 2018, 'Preliminary tests of camera self-calibration by wavelet-based additional parameters', Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia, 18-10-15 - 18-10-19 pp. 2034-2043.

Preliminary tests of camera self-calibration by wavelet-based additional parameters. / Ye, Jun Fu; Tsay, Jaan-Rong.

2018. 2034-2043 Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.

Research output: Contribution to conferencePaper

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Ye JF, Tsay J-R. Preliminary tests of camera self-calibration by wavelet-based additional parameters. 2018. Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.