com.itextpdf.text.pdf.parser

Class BezierCurve

java.lang.Object

com.itextpdf.text.pdf.parser.BezierCurve

All Implemented Interfaces:

Shape

public class BezierCurve
extends Object
implements Shape

Represents a Bezier curve.

Since:

5.5.6

Field Summary

Fields

Modifier and Type	Field and Description
static double	curveCollinearityEpsilon If the distance between a point and a line is less than this constant, then we consider the point lies on the line.
static double	distanceToleranceManhattan The Manhattan distance is used in the case when either the line ((x1, y1), (x4, y4)) passes through both (x2, y2) and (x3, y3) or (x1, y1) = (x4, y4).
static double	distanceToleranceSquare In the case when neither the line ((x1, y1), (x4, y4)) passes through both (x2, y2) and (x3, y3) nor (x1, y1) = (x4, y4) we use the square of the sum of the distances mentioned below in compare to this field as the criterion of good approximation. 1.

Constructor Summary

Constructors

Constructor and Description
BezierCurve(List<Point2D> controlPoints) Constructs new bezier curve.

Method Summary

Modifier and Type	Method and Description
List<Point2D>	getBasePoints() Treat base points as the points which are enough to construct a shape.
List<Point2D>	getPiecewiseLinearApproximation() You can adjust precision of the approximation by varying the following parameters: curveCollinearityEpsilon, distanceToleranceSquare, distanceToleranceManhattan

Methods inherited from class java.lang.Object

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

Field Detail

curveCollinearityEpsilon

public static double curveCollinearityEpsilon

If the distance between a point and a line is less than this constant, then we consider the point lies on the line.

distanceToleranceSquare

public static double distanceToleranceSquare

In the case when neither the line ((x1, y1), (x4, y4)) passes through both (x2, y2) and (x3, y3) nor (x1, y1) = (x4, y4) we use the square of the sum of the distances mentioned below in compare to this field as the criterion of good approximation. 1. The distance between the line and (x2, y2) 2. The distance between the line and (x3, y3)

distanceToleranceManhattan

public static double distanceToleranceManhattan

The Manhattan distance is used in the case when either the line ((x1, y1), (x4, y4)) passes through both (x2, y2) and (x3, y3) or (x1, y1) = (x4, y4). The essential observation is that when the curve is a uniform speed straight line from end to end, the control points are evenly spaced from beginning to end. Our measure of how far we deviate from that ideal uses distance of the middle controls: point 2 should be halfway between points 1 and 3; point 3 should be halfway between points 2 and 4.

Constructor Detail

BezierCurve

public BezierCurve(List<Point2D> controlPoints)

Constructs new bezier curve.

Parameters:

controlPoints - Curve's control points.

Method Detail

getBasePoints

public List<Point2D> getBasePoints()

Treat base points as the points which are enough to construct a shape. E.g. for a bezier curve they are control points, for a line segment - the start and the end points of the segment.

Specified by:

getBasePoints in interface Shape

Returns:

Ordered List consisting of shape's base points.

getPiecewiseLinearApproximation

public List<Point2D> getPiecewiseLinearApproximation()

You can adjust precision of the approximation by varying the following parameters: curveCollinearityEpsilon, distanceToleranceSquare, distanceToleranceManhattan

Returns:

List containing points of piecewise linear approximation for this bezier curve.

Since:

5.5.6