Automatic corner detection of chess board for medical endoscopy camera calibration

  • Authors:

  • Xiaoming Hu;Pengfei Du;Ya Zhou

  • Affiliations:

  • School of Life Science, Beijing Institute of Technology, Beijing, China;School of Optoelectronics, Beijing Institute of Technology, Beijing, China;School of Optoelectronics, Beijing Institute of Technology, Beijing, China

  • Venue:
  • Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
  • Year:
  • 2011

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Abstract

Camera calibration can hardly be avoided in the context of image-based computer aid surgery. Due to the radial distortion of endoscopy lens, the first challenging task is to solve the parameters of distortion correcting. Today various calibration methods have been proposed where the corners on a planar checker board are used as the control points. However the manual method and interactive method of corner extraction for endoscopy are extremely time consuming and require too much labor. In this paper, an effective automatic corner detection method for endoscopy lens is proposed. It consists of the detection of image corners, and the sub pixel recognition of corners at the intersection of black and white squares. Experiments show the robustness of the proposed method which will reduce the time consuming for endoscopy camera calibration.