Quasi-Euclidean epipolar rectification of uncalibrated images

1. Al-Zahrani A., Ipson S.S., Haigh J.G.B.: Applications of a direct algorithm for the rectification of uncalibrated images. Inf. Sci. Inf. Comput. Sci. 160(1–4), 53–71 (2004)

   MathSciNet  Google Scholar 

2. Fusiello A., Trucco E., Verri A.: A compact algorithm for rectification of stereo pairs. Mach. Vis. Appl. 12(1), 16–22 (2000)

   Article  Google Scholar 

3. Gluckman, J., Nayar, S.K.: Rectifying transformations that minimize resampling effects. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, p. 111 (2001)

4. Hartley, R., Gupta, R.: Computing matched-epipolar projections. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 549–555, New York, NY, June 15–17 (1993)

5. Hartley R., Zisserman A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge (2003)

   Google Scholar 

6. Hartley R.I.:Estimation of relative camera position for uncalibrated cameras. In: Proceedings of the European Conference on Computer Vision, pp. 579–587, Santa Margherita L. (1992)

7. Hartley R.I.: Theory and practice of projective rectification. Int. J. Comput. Vis. 35(2), 1–16 (1999)

   Article  MathSciNet  Google Scholar 

8. Heyden A., Pollefeys M.: Multiple view geometry. In: Medioni, G., Kang, S.B. Emerging Topics in Computer Vision, pp. 45–107. Prentice Hall, USA (2005)

9. Yu Y.-H., Wu H.-H.P.: Projective rectification with reduced geometric distortion for stereo vision and stereoscopic video. J. Intell. Robot. Syst. 42(1), 71–94 (2005)

   Article  Google Scholar 

10. Irani, M., Anandan, P., Hsu, S.: Mosaic based representations of video sequences and their applications. In: Proceedings of the International Conference on Computer Vision, pp. 605–611 (1995)

11. Isgrò, F., Trucco E.: Projective rectification without epipolar geometry. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. I:94–99, Fort Collins, CO, June 23–25 (1999)

12. Laveau, S., Faugeras, O.: 3-D scene representation as a collection of images. In: Proceedings of the International Conference on Pattern Recognition, vol. 1, pp. 689–691 (1994)

13. Loop, C., Zhang, Z.: Computing rectifying homographies for stereo vision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. I:125–131, Fort Collins, CO, June 23–25 (1999)

14. Lowe D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91–110 (2004)

    Article  Google Scholar 

15. Luong Q.-T., Faugeras O.D.: The fundamental matrix: theory, algorithms, and stability analysis. Int. J. Comput. Vis. 17, 43–75 (1996)

    Article  Google Scholar 

16. Mallon J., Whelan P.F.: Projective rectification from the fundamental matrix. Image Vis. Comput. 23(7), 643–650 (2005)

    Article  Google Scholar 

17. Robert, L., Buffa, M., Hebert, M.: Weakly-calibrated stereo perception for rover navigation. In: ICCV, pp. 46–51 (1995)

18. Sturm, P.: On focal length calibration from two views. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. II, pp. 145–150, Kauai, USA (2001)

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