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Analysis of Fish-Eye Lens Camera Self-Calibration.

Kang Hyeok Choi1, Yongil Kim2, Changjae Kim3

  • 1Department of Civil &Environmental Engineering, Seoul National University, 599 Gwanak-ro 1, Gwanak-gu, Seoul 08826, Korea. cwsurgy@naver.com.

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|March 13, 2019
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Summary
This summary is machine-generated.

Accurate fish-eye camera calibration is crucial due to lens distortion. This study found the V-type test object optimal for precise calibration, achieving sub-pixel accuracy.

Keywords:
correlation analysisfish-eye lens camerainterior orientation parametersperspective projection cameraself-calibrationtest object shapes

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Area of Science:

  • Computer Vision
  • Optical Engineering

Background:

  • Fish-eye lens cameras provide a wide field of view for efficient image acquisition.
  • Significant peripheral image distortion necessitates precise camera self-calibration for accurate data.

Purpose of the Study:

  • To investigate and propose an accurate self-calibration method for fish-eye lens cameras.
  • To evaluate the impact of different test objects and projection models on calibration accuracy.

Main Methods:

  • Self-calibration was performed using V-, A-, Plane-, and Room-type test objects.
  • Analysis focused on parameter correlations and image point distribution for accuracy assessment.

Main Results:

  • The V-type test object demonstrated superior accuracy for principal point coordinates and focal length due to low parameter correlations.
  • Other test objects excelled in distorting parameters due to well-distributed image points.
  • The proposed method using the V-type test object achieved Root Mean Square (RMS) residuals under 1 pixel.

Conclusions:

  • A novel and accurate fish-eye lens camera self-calibration method utilizing the V-type test object is proposed.
  • The V-type test object offers a balance of accuracy for key parameters and overall calibration performance.