Back to Adaptive Vision Studio website

You are here: Start » Filter Reference » Geometry 2D Fitting

Geometry 2D Fitting

Select a filter from the list below.

Icon Name Description
AdjustPointArrays Aligns a point array to match best the input point array.
DetectPointSegments Detect points that lie along multiple segments.
FitArcToPath Approximates path by an arc using the selected outliers suppression method and considering path's start and end.
FitArcToPoints Approximates points with an arc using the selected outliers suppression method.
FitCircleToPoints Approximates points with a circle using selected outliers suppression method.
FitLineToPoints Approximates points with a line using the Least Squares method.
FitLineToPoints_LTE Brute-force finding of a line that best matches a subset of the input points. Very efficient against outliers, but possibly slow for bigger subsets.
FitLineToPoints_M Finding a locally optimal line. Good enough when the number of outliers is small.
FitLineToPoints_RANSAC Approximates points with a line using a RANSAC algorithm.
FitLineToPoints_TheilSen Finds a well matching line, ignoring up to 29.3% (TheilSen) or 50.0% (Siegel) outliers. Outliers do have some influence on accuracy.
FitSegmentToPoints Finding a locally optimal segment. Good enough when the number of outliers is small.
FitSegmentToPoints_LTE Brute-force finding of a segment that best matches a subset of the input points. Very efficient against outliers, but possibly slow for bigger subsets.
FitSegmentToPoints_RANSAC Approximates points with a segment using a RANSAC algorithm.
FitSegmentToPoints_TheilSen Finds a well matching segment, ignoring up to 29.3% (TheilSen) or 50.0% (Siegel) outliers. Outliers do have some influence on accuracy.
LocateMultiplePointPatterns Finds the occurrences of the pattern in the input points.
LocateSinglePointPattern Finds an occurrence of the pattern in the input points.