Earticle

초록

영어

In order to solve the restriction of the two common calibration modes applied in digital close-range industrial photogrammetry, a new camera calibration method based on orientation points was proposed. Firstly, image sequences were obtained applying a calibration plate with five orientation points. The ellipse detection criteria were applied to eliminate the redundant information from images after pretreatment and all target points was determined as well. Then according to the special geometric relationship between orientation points, target points were matched exactly from object space to image space. Finally camera parameters were solved and optimized by the Gauss-Newton algorithm. In laboratory, the proposed theory was proved robust in Matlab2010 and could meet the measurement accuracy requirements.

목차

Abstract
 1. Introduction
 2. A Camera Calibration Method Based on Orientation points
  2.1. Acquiring and Preprocessing Images
  2.2. Detecting the Target Points
  2.3. Automatic Matching Process
  2.4. Automatic Matching Process
 3. Optimization of Camera Parameters
 4. Experimental Verification and Analyzing
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Huang Xuemei [ School of mechanical engineering, Shandong University of Technology, Zibo255049, China ]
• Zhu Mingjian [ School of mechanical engineering, Shandong University of Technology, Zibo255049, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605