public ReflectionedLine Approximate(List <IntPoint> sourcePoints, int sourcePointCount, out double rSquares,
out double relativeEstimation)
{
_sourcePoints = sourcePoints;
_sourcePointsCount = sourcePointCount;
LinearLeastSquares approximationOfRansac = new LinearLeastSquares(GetRansacPoints());
rSquares = approximationOfRansac.RSquares;
relativeEstimation = approximationOfRansac.RelativeEstimation;
return(approximationOfRansac.Line);
}
private List <IntPoint> GetRansacPoints()
{
List <IntPoint> ransacPoints = new List <IntPoint>();
double bestRSquare = -1 * Double.MaxValue;
var syncTask = new Task(() =>
{
System.Threading.Tasks.Parallel.For(0, _iterations, i =>
{
Random rnd = new Random();
List <IntPoint> samplePoints = GetSamplePoints(rnd, (int)(_sampleShare * _sourcePointsCount));
LinearLeastSquares ols = new LinearLeastSquares(samplePoints);
ReflectionedLine approxLine = ols.Line;
List <IntPoint> inliers = GetInliers(approxLine, (int)((1 - _outlierShare) * _sourcePointsCount));
//calculate rSquare of inliers with sampleApproxLine
int xMean = 0;
inliers.ForEach(point => xMean += point.X);
xMean = xMean / inliers.Count;
double rSquareNumerator = 0;
double rSquareDenominator = 0;
inliers.ForEach(point =>
{
rSquareNumerator += Math.Pow(point.X - approxLine.GetX(point.Y), 2);
rSquareDenominator += Math.Pow(point.X - xMean, 2);
});
double rSquare = 1 - rSquareNumerator / rSquareDenominator;
if (rSquare > bestRSquare)
{
bestRSquare = rSquare;
ransacPoints = inliers;
}
});
});
syncTask.RunSynchronously();
return(ransacPoints);
}
