scholarly journals Multiple model estimation with inter-residual distance feedback

1992 ◽  
Vol 13 (3) ◽  
pp. 127-140 ◽  
Author(s):  
Eivind J. Lund ◽  
Jens G. Balchen ◽  
Bjarne A. Foss
1991 ◽  
Vol 24 (3) ◽  
pp. 889-894 ◽  
Author(s):  
E.J. Lund ◽  
J.G. Balchen ◽  
B.A. Foss

2013 ◽  
Vol 427-429 ◽  
pp. 1506-1509
Author(s):  
Yong Yan Yu

A robust estimation procedure is necessary to estimate the true model parameters in computer vision. Evaluating the multiple-model in the presence of outliers-robust is a fundamentally different task than the single-model problem.Despite there are many diversity multi-model estimation algorithms, it is difficult to pick an effective and advisably approach.So we present a novel quantitative evaluation of multi-model estimation algorithms, efficiency may be evaluated by either examining the asymptotic efficiency of the algorithms or by running them for a series of data sets of increasing size.Thus we create a specifical testing dataset,and introduce a performance metric, Strongest-Intersection.and using the model-aware correctness criterion. Finally, well show the validity of estimation strategy by the Experimention of line-fitting.


2020 ◽  
Vol 14 (4) ◽  
pp. 199-213
Author(s):  
Shuhui Li ◽  
Xiaoxue Feng ◽  
Zhihong Deng ◽  
Feng Pan ◽  
Shengyang Ge

2020 ◽  
Vol 57 (6) ◽  
pp. 1134-1147
Author(s):  
Dakota Musso ◽  
Jonathan Rogers

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