[MATH-749] Rename method, add/improve javadoc, better handle degenerate cases, improve unit tests.

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1565444 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Thomas Neidhart 2014-02-06 21:27:20 +00:00
parent 6b43922648
commit de21905859
5 changed files with 60 additions and 80 deletions

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@ -16,9 +16,7 @@
*/
package org.apache.commons.math3.geometry.euclidean.twod.hull;
import java.util.Arrays;
import java.util.Collection;
import java.util.Iterator;
import org.apache.commons.math3.exception.NullArgumentException;
import org.apache.commons.math3.geometry.euclidean.twod.Vector2D;
@ -44,16 +42,6 @@ public abstract class AbstractConvexHullGenerator2D implements ConvexHullGenerat
*/
private final boolean includeCollinearPoints;
/**
* Simple constructor.
* <p>
* Collinear points on the hull will not be added to the hull vertices and
* {@code 1e-10} will be used as tolerance criteria for identical points.
*/
protected AbstractConvexHullGenerator2D() {
this(false, DEFAULT_TOLERANCE);
}
/**
* Simple constructor.
* <p>
@ -100,30 +88,19 @@ public abstract class AbstractConvexHullGenerator2D implements ConvexHullGenerat
// check for null points
MathUtils.checkNotNull(points);
final int size = points.size();
if (size == 2) {
// special case: check that the two points are not identical
final Iterator<Vector2D> it = points.iterator();
final Vector2D firstPoint = it.next();
final Vector2D secondPoint = it.next();
if (firstPoint.distance(secondPoint) > tolerance) {
return new ConvexHull2D(points, tolerance);
} else {
return new ConvexHull2D(Arrays.asList(firstPoint), tolerance);
}
} else if (size < 2) {
if (points.size() < 2) {
return new ConvexHull2D(points, tolerance);
}
final Collection<Vector2D> hullVertices = generateHull(points);
final Collection<Vector2D> hullVertices = findHullVertices(points);
return new ConvexHull2D(hullVertices, tolerance);
}
/**
* Compute the convex hull vertices from the set of input points.
* Find the convex hull vertices from the set of input points.
* @param points the set of input points
* @return the convex hull vertices in CCW winding
*/
protected abstract Collection<Vector2D> generateHull(Collection<Vector2D> points);
protected abstract Collection<Vector2D> findHullVertices(Collection<Vector2D> points);
}

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@ -28,8 +28,17 @@ import org.apache.commons.math3.util.FastMath;
* Implements the Gift wrapping algorithm to generate the convex hull of a finite set of
* points in the two-dimensional euclidean space.
* <p>
* The implementation is not sensitive to collinear points. The runtime complexity is O(nh),
* with n being the number of input points and h the number of points on the convex hull.
* The runtime complexity is O(nh), with n being the number of input points and h the number
* of points on the convex hull.
* <p>
* The implementation is not sensitive to collinear points on the hull. The parameter
* {@code includeCollinearPoints} allows to control the behavior with regard to collinear points.
* If {@code true}, all points on the boundary of the hull will be added to the hull vertices,
* otherwise only the extreme points will be present. By default, collinear points are not added
* as hull vertices.
* <p>
* The {@code tolerance} parameter (default: 1e-10) is used as epsilon criteria to determine
* identical and collinear points.
*
* @see <a href="http://en.wikipedia.org/wiki/Gift_wrapping_algorithm">Gift wrapping algorithm (Wikipedia)</a>
* @since 3.3
@ -39,21 +48,14 @@ public class GiftWrap extends AbstractConvexHullGenerator2D {
/**
* Create a new GiftWrap instance.
* <p>
* Collinear points on the hull will not be added to the hull vertices and
* {@code 1e-10} will be used as tolerance criteria for identical points.
*/
public GiftWrap() {
super();
this(false);
}
/**
* Create a new GiftWrap instance.
* <p>
* The default tolerance (1e-10) will be used to determine identical points.
*
* @param includeCollinearPoints indicates if collinear points on the hull shall be
* added as hull vertices
* @param includeCollinearPoints whether collinear points shall be added as hull vertices
*/
public GiftWrap(final boolean includeCollinearPoints) {
super(includeCollinearPoints);
@ -61,9 +63,7 @@ public class GiftWrap extends AbstractConvexHullGenerator2D {
/**
* Create a new GiftWrap instance.
*
* @param includeCollinearPoints indicates if collinear points on the hull shall be
* added as hull vertices
* @param includeCollinearPoints whether collinear points shall be added as hull vertices
* @param tolerance tolerance below which points are considered identical
*/
public GiftWrap(final boolean includeCollinearPoints, final double tolerance) {
@ -71,7 +71,7 @@ public class GiftWrap extends AbstractConvexHullGenerator2D {
}
@Override
public Collection<Vector2D> generateHull(final Collection<Vector2D> points) {
public Collection<Vector2D> findHullVertices(final Collection<Vector2D> points) {
final double tolerance = getTolerance();
final List<Vector2D> hullVertices = new ArrayList<Vector2D>();

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@ -30,8 +30,16 @@ import org.apache.commons.math3.util.FastMath;
* Implements Graham's scan method to generate the convex hull of a finite set of
* points in the two-dimensional euclidean space.
* <p>
* The implementation is not sensitive to collinear points. The runtime complexity
* is O(n log n), with n being the number of input points.
* The runtime complexity is O(n log h), with n being the number of input points.
* <p>
* The implementation is not sensitive to collinear points on the hull. The parameter
* {@code includeCollinearPoints} allows to control the behavior with regard to collinear points.
* If {@code true}, all points on the boundary of the hull will be added to the hull vertices,
* otherwise only the extreme points will be present. By default, collinear points are not added
* as hull vertices.
* <p>
* The {@code tolerance} parameter (default: 1e-10) is used as epsilon criteria to determine
* identical and collinear points.
*
* @see <a href="http://en.wikipedia.org/wiki/Graham_scan">Graham's scan algorithm (Wikipedia)</a>
* @since 3.3
@ -44,21 +52,14 @@ public class GrahamScan extends AbstractConvexHullGenerator2D {
/**
* Create a new GrahamScan instance.
* <p>
* Collinear points on the hull will not be added to the hull vertices and
* {@code 1e-10} will be used as tolerance criteria for identical points.
*/
public GrahamScan() {
super();
this(false);
}
/**
* Create a new GrahamScan instance.
* <p>
* The default tolerance (1e-10) will be used to determine identical points.
*
* @param includeCollinearPoints indicates if collinear points on the hull shall be
* added as hull vertices
* @param includeCollinearPoints whether collinear points shall be added as hull vertices
*/
public GrahamScan(final boolean includeCollinearPoints) {
super(includeCollinearPoints);
@ -66,9 +67,7 @@ public class GrahamScan extends AbstractConvexHullGenerator2D {
/**
* Create a new GrahamScan instance.
*
* @param includeCollinearPoints indicates if collinear points on the hull shall be
* added as hull vertices
* @param includeCollinearPoints whether collinear points shall be added as hull vertices
* @param tolerance tolerance below which points are considered identical
*/
public GrahamScan(final boolean includeCollinearPoints, final double tolerance) {
@ -76,7 +75,7 @@ public class GrahamScan extends AbstractConvexHullGenerator2D {
}
@Override
protected Collection<Vector2D> generateHull(final Collection<Vector2D> points) {
protected Collection<Vector2D> findHullVertices(final Collection<Vector2D> points) {
final Vector2D referencePoint = getReferencePoint(points);

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@ -29,9 +29,17 @@ import org.apache.commons.math3.util.FastMath;
* Implements Andrew's monotone chain method to generate the convex hull of a finite set of
* points in the two-dimensional euclidean space.
* <p>
* The implementation is not sensitive to collinear points. The runtime complexity
* is O(n log n), with n being the number of input points. If the point set is already
* sorted (by x-coordinate), the runtime complexity is O(n).
* The runtime complexity is O(n log n), with n being the number of input points. If the
* point set is already sorted (by x-coordinate), the runtime complexity is O(n).
* <p>
* The implementation is not sensitive to collinear points on the hull. The parameter
* {@code includeCollinearPoints} allows to control the behavior with regard to collinear points.
* If {@code true}, all points on the boundary of the hull will be added to the hull vertices,
* otherwise only the extreme points will be present. By default, collinear points are not added
* as hull vertices.
* <p>
* The {@code tolerance} parameter (default: 1e-10) is used as epsilon criteria to determine
* identical and collinear points.
*
* @see <a href="http://en.wikibooks.org/wiki/Algorithm_Implementation/Geometry/Convex_hull/Monotone_chain">
* Andrew's monotone chain algorithm (Wikibooks)</a>
@ -42,21 +50,14 @@ public class MonotoneChain extends AbstractConvexHullGenerator2D {
/**
* Create a new MonotoneChain instance.
* <p>
* Collinear points on the hull will not be added to the hull vertices and
* {@code 1e-10} will be used as tolerance criteria for identical points.
*/
public MonotoneChain() {
super();
this(false);
}
/**
* Create a new MonotoneChain instance.
* <p>
* The default tolerance (1e-10) will be used to determine identical points.
*
* @param includeCollinearPoints indicates if collinear points on the hull shall be
* added as hull vertices
* @param includeCollinearPoints whether collinear points shall be added as hull vertices
*/
public MonotoneChain(final boolean includeCollinearPoints) {
super(includeCollinearPoints);
@ -64,9 +65,7 @@ public class MonotoneChain extends AbstractConvexHullGenerator2D {
/**
* Create a new MonotoneChain instance.
*
* @param includeCollinearPoints indicates if collinear points on the hull shall be
* added as hull vertices
* @param includeCollinearPoints whether collinear points shall be added as hull vertices
* @param tolerance tolerance below which points are considered identical
*/
public MonotoneChain(final boolean includeCollinearPoints, final double tolerance) {
@ -74,7 +73,7 @@ public class MonotoneChain extends AbstractConvexHullGenerator2D {
}
@Override
public Collection<Vector2D> generateHull(final Collection<Vector2D> points) {
public Collection<Vector2D> findHullVertices(final Collection<Vector2D> points) {
final List<Vector2D> pointsSortedByXAxis = new ArrayList<Vector2D>(points);
@ -113,6 +112,11 @@ public class MonotoneChain extends AbstractConvexHullGenerator2D {
hullVertices.add(upperHull.get(idx));
}
// special case: if the lower and upper hull may contain only 1 point if all are identical
if (hullVertices.isEmpty() && ! lowerHull.isEmpty()) {
hullVertices.add(lowerHull.get(0));
}
return hullVertices;
}

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@ -96,7 +96,7 @@ public abstract class ConvexHullGenerator2DAbstractTest {
points.add(new Vector2D(1, 1));
final ConvexHull2D hull = generator.generate(points);
checkConvexHull(points, hull);
Assert.assertTrue(hull.getVertices().length == 1);
}
@Test
@ -231,9 +231,9 @@ public abstract class ConvexHullGenerator2DAbstractTest {
double sign = 0.0;
final Vector2D[] points = hull.getVertices();
if (points.length < 3) {
return true;
}
// if (points.length < 3) {
// return true;
// }
for (int i = 0; i < points.length; i++) {
Vector2D p1 = points[i == 0 ? points.length - 1 : i - 1];
@ -268,9 +268,9 @@ public abstract class ConvexHullGenerator2DAbstractTest {
final boolean includesCollinearPoints) {
final Collection<Vector2D> hullVertices = Arrays.asList(hull.getVertices());
if (hullVertices.size() < 3) {
return;
}
// if (hullVertices.size() < 3) {
// return;
// }
final Region<Euclidean2D> region = hull.createRegion();
for (final Vector2D p : points) {