Random sample consensus (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Random sample consensus" in English language version.

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academia.edu

P.H.S. Torr and A. Zisserman, MLESAC: A new robust estimator with application to estimating image geometry^{[dead link‍]}, Journal of Computer Vision and Image Understanding 78 (2000), no. 1, 138–156.

bmva.org

O. Chum and J. Matas, Randomized RANSAC with Td,d test, 13th British Machine Vision Conference, September 2002. http://www.bmva.org/bmvc/2002/papers/50/

cvut.cz

dspace.cvut.cz

Matching with PROSAC – progressive sample consensus, Proceedings of Conference on Computer Vision and Pattern Recognition (San Diego), vol. 1, June 2005, pp. 220–226

doi.org

Hossam Isack, Yuri Boykov (2012). "Energy-based Geometric Multi-Model Fitting". International Journal of Computer Vision 97 (2: 1): 23–147. doi:10.1007/s11263-011-0474-7.
Brahmachari, Aveek S.; Sarkar, Sudeep (March 2013). "Hop-Diffusion Monte Carlo for Epipolar Geometry Estimation between Very Wide-Baseline Images". IEEE Transactions on Pattern Analysis and Machine Intelligence. 35 (3): 755–762. doi:10.1109/TPAMI.2012.227. PMID 26353140. S2CID 2524656.

ieee.org

ieeexplore.ieee.org

B. J. Tordoff and D. W. Murray, Guided-MLESAC: Faster image transform estimation by using matching priors, IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (2005), no. 10, 1523–1535.
H. Wang and D. Suter, Robust adaptive-scale parametric model estimation for computer vision., IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (2004), no. 11, 1459–1474
W. Ruoyan and W. Junfeng, "FSASAC: Random Sample Consensus Based on Data Filter and Simulated Annealing," in IEEE Access, vol. 9, pp. 164935-164948, 2021, doi: 10.1109/ACCESS.2021.3135416.

nih.gov

pubmed.ncbi.nlm.nih.gov

Brahmachari, Aveek S.; Sarkar, Sudeep (March 2013). "Hop-Diffusion Monte Carlo for Epipolar Geometry Estimation between Very Wide-Baseline Images". IEEE Transactions on Pattern Analysis and Machine Intelligence. 35 (3): 755–762. doi:10.1109/TPAMI.2012.227. PMID 26353140. S2CID 2524656.

psu.edu

citeseerx.ist.psu.edu

Cantzler, H. "Random Sample Consensus (RANSAC)". Institute for Perception, Action and Behaviour, Division of Informatics, University of Edinburgh. CiteSeerX 10.1.1.106.3035. Archived from the original on 2023-02-04.
A. Vedaldi, H. Jin, P. Favaro, and S. Soatto, KALMANSAC: Robust filtering by consensus, Proceedings of the International Conference on Computer Vision (ICCV), vol. 1, 2005, pp. 633–640

semanticscholar.org

pdfs.semanticscholar.org

D. Nistér, Preemptive RANSAC for live structure and motion estimation, IEEE International Conference on Computer Vision (Nice, France), October 2003, pp. 199–206.
R. Toldo and A. Fusiello, Robust multiple structures estimation with J-linkage, European Conference on Computer Vision (Marseille, France), October 2008, pp. 537–547.

api.semanticscholar.org

Brahmachari, Aveek S.; Sarkar, Sudeep (March 2013). "Hop-Diffusion Monte Carlo for Epipolar Geometry Estimation between Very Wide-Baseline Images". IEEE Transactions on Pattern Analysis and Machine Intelligence. 35 (3): 755–762. doi:10.1109/TPAMI.2012.227. PMID 26353140. S2CID 2524656.

web.archive.org

Cantzler, H. "Random Sample Consensus (RANSAC)". Institute for Perception, Action and Behaviour, Division of Informatics, University of Edinburgh. CiteSeerX 10.1.1.106.3035. Archived from the original on 2023-02-04.

zcu.cz

wscg.zcu.cz

Anders Hast, Johan Nysjö, Andrea Marchetti (2013). "Optimal RANSAC – Towards a Repeatable Algorithm for Finding the Optimal Set". Journal of WSCG 21 (1): 21–30.