A new approach to estimating fundamental matrix

Image and Vision Computing

Volumn 24, Issue 1, 2006, Pages 56-60

  Zhong, H X ^a,b   Pang, Y J ^a   Feng, Y P ^a  

^a JILIN UNIVERSITY   (China)

^b Department of Computer Science ^*  (China)

Author keywords

Epipolar geometry; Fundamental matrix; Generalized eigenvalue problem

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; ESTIMATION; LINEAR SYSTEMS; PROBLEM SOLVING;

EPIPOLAR GEOMETRY; FUNDAMENTAL MATRIX; GENERALIZED EIGENVALUE PROBLEM;

MATRIX ALGEBRA;

EID: 30344463346     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2005.09.021     Document Type: Article

References (12)

1. Q.-T. Luong, and O.D. Faugeras The fundamental matrix: theory, algorithms, and stability analysis International Journal of Computer Vision 17 1 1996 43 75
2. O.D. Faugeras Three-Dimensional Computer Vision: A Geometric Viewpoint 1993 The MIT Press Cambridge, MA
3. M. Sonka, V. Hlavac, and R. Boyle Image Processing, Analysis, and Machine Vision second ed. 1998 PWS Publishing
4. R.I. Hartley, and A. Zisserman Multiple View Geometry in Computer Vision 2000 Cambridge University Press London
5. P.H.S. Torr, and D.W. Murray The development and comparison of robust methods for estimating the fundamental matrix International Journal of Computer Vision 24 3 1997 271 300
6. Z. Zhang Determining the epipolar geometry and its uncertainty: a review International Journal of Computer Vision 27 2 1998 161 198
7. X. Armangué, and J. Salvi Overall view regarding fundamental matrix estimation Image and Vision Computing 21 2 2003 205 220
8. R. Hartley In defence of the 8-point algorithm Proceedings of the Eighth International Conference on Computer Vision 1995 IEEE Computer Society Press Boston pp. 1064-1070
9. Y. Leedan, and P. Meer Heteroscedastic regression in computer vision: problems with bilinear constraint International Journal of Computer Vision 37 2 2000 127 150
10. P.H.S. Torr, A.W. Fitzgibbon, Invariant fitting of two view geometry or 'in defiance of the 8 point algorithm', in: Proceedings of British Machine Vision Conference, 2003, pp. 83-92.
11. W. Chojnacki, M.J. Brooks, A. van den Hengel, and D. Gawley A new constrained parameter estimator for computer vision applications Image and Vision Computing 22 2 2004 85 91
12. Z. Zhang, R. Deriche, O.D. Faugeras, and Q.-T. Luong A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry Artificial Intelligence Journal 78 1995 87 119