[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
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@ -16,9 +16,7 @@
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*/
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package org.apache.commons.math3.geometry.euclidean.twod.hull;
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import java.util.Arrays;
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import java.util.Collection;
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import java.util.Iterator;
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import org.apache.commons.math3.exception.NullArgumentException;
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import org.apache.commons.math3.geometry.euclidean.twod.Vector2D;
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@ -44,16 +42,6 @@ public abstract class AbstractConvexHullGenerator2D implements ConvexHullGenerat
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*/
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private final boolean includeCollinearPoints;
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/**
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* Simple constructor.
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* <p>
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* Collinear points on the hull will not be added to the hull vertices and
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* {@code 1e-10} will be used as tolerance criteria for identical points.
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*/
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protected AbstractConvexHullGenerator2D() {
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this(false, DEFAULT_TOLERANCE);
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}
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/**
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* Simple constructor.
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* <p>
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@ -100,30 +88,19 @@ public abstract class AbstractConvexHullGenerator2D implements ConvexHullGenerat
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// check for null points
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MathUtils.checkNotNull(points);
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final int size = points.size();
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if (size == 2) {
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// special case: check that the two points are not identical
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final Iterator<Vector2D> it = points.iterator();
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final Vector2D firstPoint = it.next();
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final Vector2D secondPoint = it.next();
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if (firstPoint.distance(secondPoint) > tolerance) {
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return new ConvexHull2D(points, tolerance);
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} else {
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return new ConvexHull2D(Arrays.asList(firstPoint), tolerance);
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}
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} else if (size < 2) {
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if (points.size() < 2) {
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return new ConvexHull2D(points, tolerance);
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}
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final Collection<Vector2D> hullVertices = generateHull(points);
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final Collection<Vector2D> hullVertices = findHullVertices(points);
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return new ConvexHull2D(hullVertices, tolerance);
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}
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/**
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* Compute the convex hull vertices from the set of input points.
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* Find the convex hull vertices from the set of input points.
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* @param points the set of input points
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* @return the convex hull vertices in CCW winding
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*/
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protected abstract Collection<Vector2D> generateHull(Collection<Vector2D> points);
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protected abstract Collection<Vector2D> findHullVertices(Collection<Vector2D> points);
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}
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@ -28,8 +28,17 @@ import org.apache.commons.math3.util.FastMath;
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* Implements the Gift wrapping algorithm to generate the convex hull of a finite set of
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* points in the two-dimensional euclidean space.
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* <p>
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* The implementation is not sensitive to collinear points. The runtime complexity is O(nh),
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* with n being the number of input points and h the number of points on the convex hull.
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* The runtime complexity is O(nh), with n being the number of input points and h the number
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* of points on the convex hull.
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* <p>
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* The implementation is not sensitive to collinear points on the hull. The parameter
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* {@code includeCollinearPoints} allows to control the behavior with regard to collinear points.
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* If {@code true}, all points on the boundary of the hull will be added to the hull vertices,
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* otherwise only the extreme points will be present. By default, collinear points are not added
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* as hull vertices.
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* <p>
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* The {@code tolerance} parameter (default: 1e-10) is used as epsilon criteria to determine
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* identical and collinear points.
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*
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* @see <a href="http://en.wikipedia.org/wiki/Gift_wrapping_algorithm">Gift wrapping algorithm (Wikipedia)</a>
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* @since 3.3
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@ -39,21 +48,14 @@ public class GiftWrap extends AbstractConvexHullGenerator2D {
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/**
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* Create a new GiftWrap instance.
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* <p>
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* Collinear points on the hull will not be added to the hull vertices and
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* {@code 1e-10} will be used as tolerance criteria for identical points.
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*/
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public GiftWrap() {
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super();
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this(false);
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}
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/**
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* Create a new GiftWrap instance.
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* <p>
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* The default tolerance (1e-10) will be used to determine identical points.
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*
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* @param includeCollinearPoints indicates if collinear points on the hull shall be
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* added as hull vertices
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* @param includeCollinearPoints whether collinear points shall be added as hull vertices
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*/
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public GiftWrap(final boolean includeCollinearPoints) {
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super(includeCollinearPoints);
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@ -61,9 +63,7 @@ public class GiftWrap extends AbstractConvexHullGenerator2D {
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/**
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* Create a new GiftWrap instance.
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*
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* @param includeCollinearPoints indicates if collinear points on the hull shall be
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* added as hull vertices
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* @param includeCollinearPoints whether collinear points shall be added as hull vertices
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* @param tolerance tolerance below which points are considered identical
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*/
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public GiftWrap(final boolean includeCollinearPoints, final double tolerance) {
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@ -71,7 +71,7 @@ public class GiftWrap extends AbstractConvexHullGenerator2D {
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}
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@Override
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public Collection<Vector2D> generateHull(final Collection<Vector2D> points) {
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public Collection<Vector2D> findHullVertices(final Collection<Vector2D> points) {
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final double tolerance = getTolerance();
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final List<Vector2D> hullVertices = new ArrayList<Vector2D>();
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@ -30,8 +30,16 @@ import org.apache.commons.math3.util.FastMath;
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* Implements Graham's scan method to generate the convex hull of a finite set of
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* points in the two-dimensional euclidean space.
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* <p>
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* The implementation is not sensitive to collinear points. The runtime complexity
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* is O(n log n), with n being the number of input points.
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* The runtime complexity is O(n log h), with n being the number of input points.
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* <p>
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* The implementation is not sensitive to collinear points on the hull. The parameter
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* {@code includeCollinearPoints} allows to control the behavior with regard to collinear points.
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* If {@code true}, all points on the boundary of the hull will be added to the hull vertices,
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* otherwise only the extreme points will be present. By default, collinear points are not added
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* as hull vertices.
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* <p>
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* The {@code tolerance} parameter (default: 1e-10) is used as epsilon criteria to determine
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* identical and collinear points.
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*
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* @see <a href="http://en.wikipedia.org/wiki/Graham_scan">Graham's scan algorithm (Wikipedia)</a>
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* @since 3.3
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@ -44,21 +52,14 @@ public class GrahamScan extends AbstractConvexHullGenerator2D {
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/**
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* Create a new GrahamScan instance.
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* <p>
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* Collinear points on the hull will not be added to the hull vertices and
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* {@code 1e-10} will be used as tolerance criteria for identical points.
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*/
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public GrahamScan() {
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super();
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this(false);
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}
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/**
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* Create a new GrahamScan instance.
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* <p>
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* The default tolerance (1e-10) will be used to determine identical points.
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*
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* @param includeCollinearPoints indicates if collinear points on the hull shall be
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* added as hull vertices
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* @param includeCollinearPoints whether collinear points shall be added as hull vertices
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*/
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public GrahamScan(final boolean includeCollinearPoints) {
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super(includeCollinearPoints);
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@ -66,9 +67,7 @@ public class GrahamScan extends AbstractConvexHullGenerator2D {
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/**
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* Create a new GrahamScan instance.
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*
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* @param includeCollinearPoints indicates if collinear points on the hull shall be
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* added as hull vertices
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* @param includeCollinearPoints whether collinear points shall be added as hull vertices
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* @param tolerance tolerance below which points are considered identical
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*/
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public GrahamScan(final boolean includeCollinearPoints, final double tolerance) {
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@ -76,7 +75,7 @@ public class GrahamScan extends AbstractConvexHullGenerator2D {
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}
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@Override
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protected Collection<Vector2D> generateHull(final Collection<Vector2D> points) {
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protected Collection<Vector2D> findHullVertices(final Collection<Vector2D> points) {
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final Vector2D referencePoint = getReferencePoint(points);
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@ -29,9 +29,17 @@ import org.apache.commons.math3.util.FastMath;
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* Implements Andrew's monotone chain method to generate the convex hull of a finite set of
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* points in the two-dimensional euclidean space.
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* <p>
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* The implementation is not sensitive to collinear points. The runtime complexity
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* is O(n log n), with n being the number of input points. If the point set is already
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* sorted (by x-coordinate), the runtime complexity is O(n).
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* The runtime complexity is O(n log n), with n being the number of input points. If the
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* point set is already sorted (by x-coordinate), the runtime complexity is O(n).
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* <p>
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* The implementation is not sensitive to collinear points on the hull. The parameter
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* {@code includeCollinearPoints} allows to control the behavior with regard to collinear points.
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* If {@code true}, all points on the boundary of the hull will be added to the hull vertices,
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* otherwise only the extreme points will be present. By default, collinear points are not added
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* as hull vertices.
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* <p>
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* The {@code tolerance} parameter (default: 1e-10) is used as epsilon criteria to determine
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* identical and collinear points.
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*
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* @see <a href="http://en.wikibooks.org/wiki/Algorithm_Implementation/Geometry/Convex_hull/Monotone_chain">
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* Andrew's monotone chain algorithm (Wikibooks)</a>
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@ -42,21 +50,14 @@ public class MonotoneChain extends AbstractConvexHullGenerator2D {
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/**
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* Create a new MonotoneChain instance.
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* <p>
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* Collinear points on the hull will not be added to the hull vertices and
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* {@code 1e-10} will be used as tolerance criteria for identical points.
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*/
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public MonotoneChain() {
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super();
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this(false);
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}
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/**
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* Create a new MonotoneChain instance.
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* <p>
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* The default tolerance (1e-10) will be used to determine identical points.
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*
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* @param includeCollinearPoints indicates if collinear points on the hull shall be
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* added as hull vertices
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* @param includeCollinearPoints whether collinear points shall be added as hull vertices
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*/
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public MonotoneChain(final boolean includeCollinearPoints) {
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super(includeCollinearPoints);
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/**
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* Create a new MonotoneChain instance.
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*
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* @param includeCollinearPoints indicates if collinear points on the hull shall be
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* added as hull vertices
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* @param includeCollinearPoints whether collinear points shall be added as hull vertices
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* @param tolerance tolerance below which points are considered identical
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*/
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public MonotoneChain(final boolean includeCollinearPoints, final double tolerance) {
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@ -74,7 +73,7 @@ public class MonotoneChain extends AbstractConvexHullGenerator2D {
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}
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@Override
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public Collection<Vector2D> generateHull(final Collection<Vector2D> points) {
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public Collection<Vector2D> findHullVertices(final Collection<Vector2D> points) {
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final List<Vector2D> pointsSortedByXAxis = new ArrayList<Vector2D>(points);
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@ -113,6 +112,11 @@ public class MonotoneChain extends AbstractConvexHullGenerator2D {
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hullVertices.add(upperHull.get(idx));
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}
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// special case: if the lower and upper hull may contain only 1 point if all are identical
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if (hullVertices.isEmpty() && ! lowerHull.isEmpty()) {
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hullVertices.add(lowerHull.get(0));
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}
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return hullVertices;
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}
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@ -96,7 +96,7 @@ public abstract class ConvexHullGenerator2DAbstractTest {
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points.add(new Vector2D(1, 1));
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final ConvexHull2D hull = generator.generate(points);
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checkConvexHull(points, hull);
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Assert.assertTrue(hull.getVertices().length == 1);
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}
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@Test
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@ -231,9 +231,9 @@ public abstract class ConvexHullGenerator2DAbstractTest {
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double sign = 0.0;
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final Vector2D[] points = hull.getVertices();
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if (points.length < 3) {
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return true;
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}
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// if (points.length < 3) {
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// return true;
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// }
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for (int i = 0; i < points.length; i++) {
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Vector2D p1 = points[i == 0 ? points.length - 1 : i - 1];
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@ -268,9 +268,9 @@ public abstract class ConvexHullGenerator2DAbstractTest {
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final boolean includesCollinearPoints) {
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final Collection<Vector2D> hullVertices = Arrays.asList(hull.getVertices());
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if (hullVertices.size() < 3) {
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return;
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}
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// if (hullVertices.size() < 3) {
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// return;
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// }
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final Region<Euclidean2D> region = hull.createRegion();
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for (final Vector2D p : points) {
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