/*
|
* Java port of Bullet (c) 2008 Martin Dvorak <jezek2@advel.cz>
|
*
|
* Bullet Continuous Collision Detection and Physics Library
|
* Copyright (c) 2003-2008 Erwin Coumans http://www.bulletphysics.com/
|
*
|
* This software is provided 'as-is', without any express or implied warranty.
|
* In no event will the authors be held liable for any damages arising from
|
* the use of this software.
|
*
|
* Permission is granted to anyone to use this software for any purpose,
|
* including commercial applications, and to alter it and redistribute it
|
* freely, subject to the following restrictions:
|
*
|
* 1. The origin of this software must not be misrepresented; you must not
|
* claim that you wrote the original software. If you use this software
|
* in a product, an acknowledgment in the product documentation would be
|
* appreciated but is not required.
|
* 2. Altered source versions must be plainly marked as such, and must not be
|
* misrepresented as being the original software.
|
* 3. This notice may not be removed or altered from any source distribution.
|
*/
|
|
package com.bulletphysics.collision.shapes;
|
|
import com.bulletphysics.collision.broadphase.BroadphaseNativeType;
|
import com.bulletphysics.linearmath.MatrixUtil;
|
import com.bulletphysics.linearmath.Transform;
|
import cz.advel.stack.Stack;
|
import javax.vecmath.Vector3f;
|
|
/**
|
* MinkowskiSumShape is only for advanced users. This shape represents implicit
|
* based minkowski sum of two convex implicit shapes.
|
*
|
* @author jezek2
|
*/
|
public class MinkowskiSumShape extends ConvexInternalShape {
|
|
private final Transform transA = new Transform();
|
private final Transform transB = new Transform();
|
private ConvexShape shapeA;
|
private ConvexShape shapeB;
|
|
public MinkowskiSumShape(ConvexShape shapeA, ConvexShape shapeB) {
|
this.shapeA = shapeA;
|
this.shapeB = shapeB;
|
this.transA.setIdentity();
|
this.transB.setIdentity();
|
}
|
|
@Override
|
public Vector3f localGetSupportingVertexWithoutMargin(Vector3f vec, Vector3f out) {
|
Vector3f tmp = Stack.alloc(Vector3f.class);
|
Vector3f supVertexA = Stack.alloc(Vector3f.class);
|
Vector3f supVertexB = Stack.alloc(Vector3f.class);
|
|
// btVector3 supVertexA = m_transA(m_shapeA->localGetSupportingVertexWithoutMargin(-vec*m_transA.getBasis()));
|
tmp.negate(vec);
|
MatrixUtil.transposeTransform(tmp, tmp, transA.basis);
|
shapeA.localGetSupportingVertexWithoutMargin(tmp, supVertexA);
|
transA.transform(supVertexA);
|
|
// btVector3 supVertexB = m_transB(m_shapeB->localGetSupportingVertexWithoutMargin(vec*m_transB.getBasis()));
|
MatrixUtil.transposeTransform(tmp, vec, transB.basis);
|
shapeB.localGetSupportingVertexWithoutMargin(tmp, supVertexB);
|
transB.transform(supVertexB);
|
|
//return supVertexA - supVertexB;
|
out.sub(supVertexA, supVertexB);
|
return out;
|
}
|
|
@Override
|
public void batchedUnitVectorGetSupportingVertexWithoutMargin(Vector3f[] vectors, Vector3f[] supportVerticesOut, int numVectors) {
|
//todo: could make recursive use of batching. probably this shape is not used frequently.
|
for (int i = 0; i < numVectors; i++) {
|
localGetSupportingVertexWithoutMargin(vectors[i], supportVerticesOut[i]);
|
}
|
}
|
|
@Override
|
public void getAabb(Transform t, Vector3f aabbMin, Vector3f aabbMax) {
|
throw new UnsupportedOperationException("Not supported yet.");
|
}
|
|
@Override
|
public BroadphaseNativeType getShapeType() {
|
return BroadphaseNativeType.MINKOWSKI_SUM_SHAPE_PROXYTYPE;
|
}
|
|
@Override
|
public void calculateLocalInertia(float mass, Vector3f inertia) {
|
assert (false);
|
inertia.set(0, 0, 0);
|
}
|
|
@Override
|
public String getName() {
|
return "MinkowskiSum";
|
}
|
|
@Override
|
public float getMargin() {
|
return shapeA.getMargin() + shapeB.getMargin();
|
}
|
|
public void setTransformA(Transform transA) {
|
this.transA.set(transA);
|
}
|
|
public void setTransformB(Transform transB) {
|
this.transB.set(transB);
|
}
|
|
public void getTransformA(Transform dest) {
|
dest.set(transA);
|
}
|
|
public void getTransformB(Transform dest) {
|
dest.set(transB);
|
}
|
|
}
|