Paper Title:
Dioptric Fisheye Panoramic Camera Calibration Based on Unifying Spherical Projection Model
  Abstract

In this paper, a calibration method is proposed for fish-eye panoramic camera. We adopt the unifying spherical projection model to represent the optical nature of fisheye camera. Traditional corner detection works unreliably in highly distorted image. Therefore, edge-based corner detection is proposed based on Hough transform. The line segments within corner detection window and their intersection corner points are extracted accurately and reliably due to the robustness of Hough transform. We use the nonlinear optimization technique to estimate the camera parameters. Experimental results demonstrate the performance of our method.

  Info
Periodical
Chapter
Chapter 10: Mechatronics and Control Technology
Edited by
Huawu Liu, Yongxin Yang, Shijie Shen, Zhili Zhong, Laijiu Zheng and Peng Feng
Pages
1553-1557
DOI
10.4028/www.scientific.net/AMM.268-270.1553
Citation
K. Wang, L. L. Wang, L. J. Zhao, R. F. Li, "Dioptric Fisheye Panoramic Camera Calibration Based on Unifying Spherical Projection Model", Applied Mechanics and Materials, Vols. 268-270, pp. 1553-1557, 2013
Online since
December 2012
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$35.00
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