The Journal of Korea Robotics Society (로봇학회논문지)

Korea Robotics Society (한국로봇학회)
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Reconstruction of Wide FOV Image from Hyperbolic Cylinder Mirror Camera

실린더형 쌍곡면 반사체 카메라 광각영상 복원

  • Kim, Soon-Cheol (Dept. of Electrical and Information Engineering, Seoul National University of Science and Technology) ;
  • Yi, Soo-Yeong (Dept. of Electrical and Information Engineering, Seoul National University of Science and Technology)
  • Received : 2015.01.15
  • Accepted : 2015.04.14
  • Published : 2015.08.31
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Abstract

In order to contain as much information as possible in a single image, a wide FOV(Field-Of-View) imaging system is required. The catadioptric imaging system with hyperbolic cylinder mirror can acquire over 180 degree horizontal FOV realtime panorama image by using a conventional camera. Because the hyperbolic cylinder mirror has a curved surface in horizontal axis, the original image acquired from the imaging system has the geometrical distortion, which requires the image processing algorithm for reconstruction. In this paper, the image reconstruction algorithms for two cases are studied: (1) to obtain an image with uniform angular resolution and (2) to obtain horizontally rectilinear image. The image acquisition model of the hyperbolic cylinder mirror imaging system is analyzed by the geometrical optics and the image reconstruction algorithms are proposed based on the image acquisition model. To show the validity of the proposed algorithms, experiments are carried out and presented in this paper. The experimental results show that the reconstructed images have a uniform angular resolution and a rectilinear form in horizontal axis, which are natural to human.

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References

  1. S. Ha, H. Koo, S. Lee, N. Cho and S. Kim, "Panorama Mosaic Optimization for Mobile Camera Systems," IEEE Trans. on Consumer Electronics, vol. 53, no. 4, pp. 1217-1225, 2008. https://doi.org/10.1109/TCE.2007.4429204
  2. K. Kim and J. Park, "Calibration of Radial Distortion and Synthesis of Panoramic Image from Muli-directional Camera Images," Jour. of Korean Institute of Next Generation Computing, vol. 9, no. 6, pp. 56-65, 2013.
  3. G. Kim and Y. Choi, "Image-processing Based Panoramic Camera Employing Single Fisheye Lens," Jour. of Optical Society of Korea, Vol. 14, no3, pp. 245-259, 2010. https://doi.org/10.3807/JOSK.2010.14.3.245
  4. G. Krishnan and S. Nayer, "Cata-Fisheye Camera for Panoramic Imaging," Proc. IEEE Workshop on Application of Computer Vision, pp. 1-8, 2008.
  5. J. Gluckman and S. Nayer, "Planar Catadioptric Stereo: Geometry and Calibration," Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, vol. 1, pp.22-28, 1999.
  6. X. Zhihui, C. Wang and Z. Maojun, "Catadioptric Omni-directional Stereo Vision and Its Applications in Moving Objects Detection," in Computer Vision, Xiong Zhihui (Ed.):InTech, pp.493-518, 2008.
  7. S. Baker and S. Nayar, "A Theory of Single-Viewpoint Catadioptric Image Formation", Int'l Jour. of Computer Vision, vol. 35, no. 2, pp. 175-196, 1999. https://doi.org/10.1023/A:1008128724364
  8. S. Yi and S. Kim, "Wide FOV Panorama Image Acquisition System," Proc. of The 9th Korea Robotics Society Annual Conference, pp. 291-292, 2014
  9. D. Park, J. Yoo and Y. Kim, "An Image Magnification Using Adaptive Interpolation Based Sub-pixel," Jour. of Institute of Electronics Engineers of Korea, vol. 45, no. 6, pp.9-16, 2008.
  10. V. Nalwa, "A true omnidirectional viewer", Bell Lab. Technical Report, 1996.
  11. K. Tan, H. Hua, and N. Ahuja, "Multiview Panoramic Cameras Using Mirror Pyramids", IEEE Tr. on Pattern Analysis and Machine Intelligence, 2004
  12. S. Lin and R. Citris, "High Resolution Catadioptric Omni-Directional Stereo Sensor for Robot Vision," Proc. of Int'l Conf. on Robotics and Automation, vol. 2, pp. 1694-1699, 2003
  13. B. Seo, Y. Choe, H. Roh, and M. Chung, "Graph-based Segmentation for Scene Understanding of an Autonomous Vehicle in Urban Environment," Jour. of Korea Robotics Society, vol. 9, no. 1, pp. 1-10, 2014 https://doi.org/10.7746/jkros.2014.9.1.001
  14. J. Kim and Y. Do, "Human Detection in the Images of a Single Camera for a Corridor Navigation Robot," Jour. of Korea Robotics Society, vo. 8, no. 4, pp. 238-246, 2013 https://doi.org/10.7746/jkros.2013.8.4.238