georegression.fitting.line

Class FitLine_F32

java.lang.Object

georegression.fitting.line.FitLine_F32

public class FitLine_F32
extends java.lang.Object

Finds the best file line given a set of observations.

Constructor Summary

Constructors

Constructor and Description
FitLine_F32()

Method Summary

Modifier and Type	Method and Description
static LinePolar2D_F32	polar(java.util.List<Point2D_F32> points, float[] weights, LinePolar2D_F32 ret) Computes the weighted best fit line to the set of points using the polar line equation.
static LinePolar2D_F32	polar(java.util.List<Point2D_F32> points, LinePolar2D_F32 ret) Computes the unweighted best fit line to the set of points using the polar line equation.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

FitLine_F32

public FitLine_F32()

Method Detail

polar

public static LinePolar2D_F32 polar(java.util.List<Point2D_F32> points,
                                    LinePolar2D_F32 ret)

Computes the unweighted best fit line to the set of points using the polar line equation. The solution is optimal in the Euclidean sense, see [1] for more details.

[1] K. Arras, R. Siegwart, "Feature Extraction and Scene Interpretation for Map-Based Navigation and Map Building" Proc. SPIE, Mobile Robotics XIII, Vol. 3210, 1997

Parameters:

points - Set of points on the line.

ret - Storage for the line. If null a new line will be declared.

Returns:

Best fit line

polar

public static LinePolar2D_F32 polar(java.util.List<Point2D_F32> points,
                                    float[] weights,
                                    LinePolar2D_F32 ret)

Computes the weighted best fit line to the set of points using the polar line equation. The solution is optimal in the Euclidean sense, see [1] for more details.

[1] K. Arras, R. Siegwart, "Feature Extraction and Scene Interpretation for Map-Based Navigation and Map Building" Proc. SPIE, Mobile Robotics XIII, Vol. 3210, 1997

Parameters:

points - Set of points on the line.

weights - Weight for each point. weights[i] ≥ 0

ret - Storage for the line. If null a new line will be declared.

Returns:

Best fit line. or null if sum of weights is zero