From Wikipedia:
References
- Martin A. Fischler and Robert C. Bolles (June 1981). “Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography”. Comm. of the ACM 24 (6): 381–395. doi:10.1145/358669.358692.
- David A. Forsyth and Jean Ponce (2003). Computer Vision, a modern approach. Prentice Hall. ISBN 0-13-085198-1.
- Richard Hartley and Andrew Zisserman (2003). Multiple View Geometry in Computer Vision (2nd ed.). Cambridge University Press.
- P.H.S. Torr and D.W. Murray (1997). “The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix”. International Journal of Computer Vision 24 (3): 271–300. doi:10.1023/A:1007927408552.
- Ondrej Chum (2005). “Two-View Geometry Estimation by Random Sample and Consensus”. PhD Thesis
- Sunglok Choi, Taemin Kim, and Wonpil Yu (2009). “Performance Evaluation of RANSAC Family”. In Proceedings of the British Machine Vision Conference (BMVC).
External links
- RANSAC Toolbox for MATLAB. A research (and didactic) oriented toolbox to explore the RANSAC algorithm in MATLAB. It is highly configurable and contains the routines to solve a few relevant estimation problems.
- Implementation in C++ as a generic template.
- RANSAC for Dummies A simple tutorial with many examples that uses the RANSAC Toolbox for MATLAB.
- 25 Years of RANSAC Workshop
- Source code for RANSAC in MATLAB
- Ransac.js Javascript implementation with visual representation of the iterations (Example of 2D Line fitting).
