DistanceEpipolarConstraint 
Computes error using the epipolar constraint.

EpipolarMinimizeGeometricError 
Given point correspondences x[1] and x[2] and a fundamental matrix F, compute the
correspondences x'[1] and x'[2] which minimize the geometric error
subject to x'[2] F' x'[1] = 0

EssentialNister5 
Finds the essential matrix given exactly 5 corresponding points.

EssentialResidualSampson 
Computes the Sampson distance residual for a set of observations given an esesntial matrix.

FundamentalExtractEpipoles 
Extracts the epipoles from an essential or fundamental matrix.

FundamentalLinear 
Base class for linear algebra based algorithms for computing the Fundamental/Essential matrices.

FundamentalLinear7 
Computes the essential or fundamental matrix using exactly 7 points with linear algebra.

FundamentalLinear8 
Given a set of 8 or more points this class computes the essential or fundamental matrix.

FundamentalResidualSampson 
Computes the Sampson distance residual for a set of observations given a fundamental matrix.

FundamentalResidualSimple 
Computes the residual just using the fundamental matrix constraint

FundamentalToProjective 
Computes projective camera matrices from a fundamental matrix.

HelperNister5 

ParamFundamentalEpipolar 
Parameterizes F by specifying the first two columns and the third being a linear combination of
the first two.
