On the probabilistic epipolar geometry-Reference-Cited by-同舟云学术

On the probabilistic epipolar geometry

Published:2008-03 Issue:3 Volume:26 Page:405-414
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Brandt Sami S.

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference15 articles.

1. Maximum likelihood robust regression by Mixture Models;Brandt;J. Math. Imaging Vis.,2006

2. S. Brandt, Theorems and Algorithms for Multiple View Geometry with Applications to Electron Tomography. Doctoral thesis, Helsinki University of Technology, October 2002.

3. S. Brandt, J. Heikkonen, Optimal method for the affine F-matrix and its uncertainty estimation in the sense of both noise and outliers, in: Proceedings of the Eighth International Conference on Computer Vision, vol. 2, Vancouver, Canada, July 2001, pp. 166–173.

4. S.S. Brandt, On the probabilistic epipolar geometry, in: Proceedings of the British Machine Vision Conference, vol. 1, London, UK, September 2004, pp. 107–116.

5. Characterizing the uncertainty of the fundamental matrix;Csurka;Comput. Vis. Image Underst.,1997

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