# findFundamentalMat documentation for CV_FM_RANSAC (Bug #2394)

**Description**

findFundamentalMat documentation says that if method is CV_FM_RANSAC, the number of points should be >= 8.

But this is incoherent with the code : in fundam.cpp, lines 636, there is a check that falls back on LMEDS if N < 15 :

`if( (method & ~3) == CV_RANSAC && count >= 15 )`

result = estimator.runRANSAC(m1, m2, &_F3x3, tempMask, param1, param2 );

else

result = estimator.runLMeDS(m1, m2, &_F3x3, tempMask, param2 );

### History

#### Updated by Alexander Smorkalov almost 5 years ago

**Assignee**set to*Maria Dimashova***Target version**set to*2.4.3*

#### Updated by Vadim Pisarevsky almost 5 years ago

I would consider it a feature. Consider the following facts:

1. Fundamental matrix is computed from at least 7 points (actually, 8 points is needed to get a single fundamental matrix, not 1 or 3).

2. If the ratio of inliers is known to be >=50% then LMEDS method is preferable to RANSAC, since the median (on which we compute the error) will always be an inlier and LMEDS is non-parametric method.

3. When the number of points is <= 14 then there will be always >=50% of inliers by definition.

This theory is proved by practice. We had some problems with the correctness test for cv::findFundamentalMat - sometimes it generated point configurations that fooled RANSAC algorithm. Since we added this hack - use LMEDS when the number of points is small enough, we got rid of those problems.

So, I cancel the ticket. If you have the particular dataset on which findFundamentalMat computes wrong matrix, please, reopen the ticket and supply the dataset.

**Status**changed from*Open*to*Cancelled*

#### Updated by Julien Rebetez almost 5 years ago

I agree with your analysis. My point was that the documentation should include your analysis or at least say that even if the user pass method=CV_FM_RANSAC, the system will fallback on LMEDS, regardless of the method parameter.

The documentation should read "CV_FM_RANSAC for the RANSAC algorithm N >= 15" and not the current "CV_FM_RANSAC for the RANSAC algorithm N >= 8".