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Merge pull request #1865 from louwers/patch-1
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typo in docs
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taketwo committed May 3, 2017
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Expand Up @@ -8,7 +8,7 @@ In this tutorial we learn how to use a RandomSampleConsensus with a plane model
Theoretical Primer
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The abbreviation of "RANdom SAmple Consensus" is RANSAC, and it is an iterative method that is used to estimate parameters of a meathematical model from a set of data containing outliers. This algorithm was published by Fischler and Bolles in 1981. The RANSAC algorithm assumes that all of the data we are looking at is comprised of both inliers and outliers. Inliers can be explained by a model with a particular set of parameter values, while outliers do not fit that model in any circumstance. Another necessary assumption is that a procedure which can optimally estimate the parameters of the chosen model from the data is available.
The abbreviation of "RANdom SAmple Consensus" is RANSAC, and it is an iterative method that is used to estimate parameters of a mathematical model from a set of data containing outliers. This algorithm was published by Fischler and Bolles in 1981. The RANSAC algorithm assumes that all of the data we are looking at is comprised of both inliers and outliers. Inliers can be explained by a model with a particular set of parameter values, while outliers do not fit that model in any circumstance. Another necessary assumption is that a procedure which can optimally estimate the parameters of the chosen model from the data is available.

From [Wikipedia]_:

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