Abstract
Determining the relative geometry of cameras is important in active binocular head or multi-camera system. Most of the existing works rely upon the establishment of either motion correspondences or binocular correspond-ences. This paper presents a first solution method that requires no recovery of full optical flow in either camera, nor overlap in the cameras’ visual fields and in turn the presence of binocular correspondences. The method is based upon observations that are directly available in the respective image stream – the monocular normal flow. Experimental results on synthetic data and real image data are shown to illustrate the potential of the method.
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References
Bjorkman, M., Eklundh, J.O.: Real-time epipolar geometry estimation of binocular stereo heads. IEEE Trans. on Pattern Analysis and Machine Intelligence 24(3) (March 2002)
Dornaika, F., Chung, R.: Stereo geometry from 3D ego-motion streams. IEEE Trans. On Systems, Man, and Cybernetics: Part B, Cybernetics 33(2) (April 2003)
Faugeras, O., Luong, T., Maybank, S.: Camera self-calibration: theory and experiments. In: Proc. 3rd European Conf. Computer Vision, Stockholm, Sweeden, pp. 471–478 (1994)
Fermüller, C., Aloimonos, Y.: Direct perception of 3D motion from patterns of visual motion. Science 270, 1973–1976 (1995)
Fermüller, C., Aloimonos, Y.: Qualitative egomotion. Int’ Journal of Computer Vision 15, 7–29 (1995)
Heikkil, J.: Geometric camera calibration using circular control points. IEEE Trans. Pattern Analysis and Machine Intelligence 22(10), 1066–1077 (2000)
Knight, J., Reid, I.: Self-calibration of a stereo rig in a planar scene by data. combination. In: Proc. of the International Conference on Pattern Recognition, pp. 1411–1414 (September 2000)
Maybank, S.J., Faugeras, O.: A Theory of self-calibration of a moving camera. Int’ Journal of Computer Vision 8(2), 123–152 (1992)
Takahashi, H., Tomita, F.: Self-calibration Of Stereo Cameras. In: Proc. 2nd Int’l Conference on Computer Vision, pp. 123–128 (1988)
Yuan, D., Chung, R.: Direct Estimation of the Stereo Geometry from Monocular Normal Flows. In: International Symposium on Visual Computing (1), pp. 303–312 (2006)
Zhang, Z., Luong, Q.-T., Faugeras, O.: Motion of an uncalibrated stereo rig: Self-calibration and metric reconstruction. IEEE Trans. on Robotics and Automation 12(1), 103–113 (1996)
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Yuan, D., Chung, R. (2007). Determining Relative Geometry of Cameras from Normal Flows. In: Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H. (eds) Computer Vision – ACCV 2007. ACCV 2007. Lecture Notes in Computer Science, vol 4844. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76390-1_30
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DOI: https://doi.org/10.1007/978-3-540-76390-1_30
Publisher Name: Springer, Berlin, Heidelberg
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