Auto-Calibration of Pan-Tilt Cameras Including Radial Distortion and Zoom

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• 作者：Ricardo Galego (1) rgalego@isr.ist.utl.pt
  Alexandre Bernardino (1) alex@isr.ist.utl.pt
  José Gaspar (1) jag@isr.ist.utl.pt
• 刊名：Lecture Notes in Computer Science
• 出版年：2012
• 出版时间：2012
• 年：2012
• 卷：7431
• 期：1
• 页码：169-178
• 全文大小：417.3 KB
• 参考文献：1. Bouguet, J.Y.: Camera calibration toolbox for matlab (2008), http://www.vision.caltech.edu/bouguetj
  2. Hartley, R.I.: Self-calibration of stationary cameras. International Journal of Computer Science 22, 5–23 (1997)
  3. Agapito, L.D., Hayman, E., Reid, I.: Self-calibration of a rotating camera with varying intrinsic parameters. In: Proc. 9th British Machine Vision Conf., Southampton, pp. 105–114 (1998)
  4. Agapito, L.D., Hayman, E., Reid, I.: Self-calibration of rotating and zooming cameras. Int. J. Comput. Vision 52, 107–127 (2001)
  5. Sinha, S.N., Pollefeys, M.: Pan-tilt-zoom camera calibration and high-resolution mosaic generation. Comput. Vis. Image Underst. 103, 170–183 (2006)
  6. Fitzgibbon, A.W.: Simultaneous linear estimation of multiple view geometry and lens distortion (2001)
  7. Steele, R.M., Jaynes, C.: Overconstrained Linear Estimation of Radial Distortion and Multi-view Geometry. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 253–264. Springer, Heidelberg (2006)
  8. Kukelova, Z., Pajdla, T.: A minimal solution to radial distortion autocalibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (2011)
  9. Heikkila, J., Silven, O.: A four-step camera calibration procedure with implicit image correction. In: 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1997 (1997)
  10. Agapito, L., Hartley, R., Hayman, E.: Linear calibration of a rotating and zooming camera. In: Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, pp. 15–21 (1999)
  11. Lowe, D.G.: Object recognition from local scale-invariant features. In: The Proceedings of the Seventh IEEE International Conference on Computer Vision, vol. 2, pp. 1150–1157 (1999)
• 作者单位：1. Institute for Systems and Robotics, Instituto Superior Técnico / UTL, Lisboa, Portugal
• ISSN：1611-3349

文摘

Although there are intrinsic advantages of using pan-tilt-zoom cameras their application in automatic surveillance systems is still scarce. The difficulty of creating background models for moving cameras and the difficulty of keeping fitted pose and optical geometrical projection models are key reasons for the limited use of pan-tilt-zoom cameras. Geometric calibration is a useful tool to overcome these difficulties.