summaryrefslogtreecommitdiffhomepage
path: root/eigen/unsupported/Eigen/BVH
diff options
context:
space:
mode:
Diffstat (limited to 'eigen/unsupported/Eigen/BVH')
-rw-r--r--eigen/unsupported/Eigen/BVH95
1 files changed, 0 insertions, 95 deletions
diff --git a/eigen/unsupported/Eigen/BVH b/eigen/unsupported/Eigen/BVH
deleted file mode 100644
index 0161a54..0000000
--- a/eigen/unsupported/Eigen/BVH
+++ /dev/null
@@ -1,95 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009 Ilya Baran <ibaran@mit.edu>
-//
-// This Source Code Form is subject to the terms of the Mozilla
-// Public License v. 2.0. If a copy of the MPL was not distributed
-// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
-
-#ifndef EIGEN_BVH_MODULE_H
-#define EIGEN_BVH_MODULE_H
-
-#include <Eigen/Core>
-#include <Eigen/Geometry>
-#include <Eigen/StdVector>
-#include <algorithm>
-#include <queue>
-
-namespace Eigen {
-
-/**
- * \defgroup BVH_Module BVH module
- * \brief This module provides generic bounding volume hierarchy algorithms
- * and reference tree implementations.
- *
- *
- * \code
- * #include <unsupported/Eigen/BVH>
- * \endcode
- *
- * A bounding volume hierarchy (BVH) can accelerate many geometric queries. This module provides a generic implementation
- * of the two basic algorithms over a BVH: intersection of a query object against all objects in the hierarchy and minimization
- * of a function over the objects in the hierarchy. It also provides intersection and minimization over a cartesian product of
- * two BVH's. A BVH accelerates intersection by using the fact that if a query object does not intersect a volume, then it cannot
- * intersect any object contained in that volume. Similarly, a BVH accelerates minimization because the minimum of a function
- * over a volume is no greater than the minimum of a function over any object contained in it.
- *
- * Some sample queries that can be written in terms of intersection are:
- * - Determine all points where a ray intersects a triangle mesh
- * - Given a set of points, determine which are contained in a query sphere
- * - Given a set of spheres, determine which contain the query point
- * - Given a set of disks, determine if any is completely contained in a query rectangle (represent each 2D disk as a point \f$(x,y,r)\f$
- * in 3D and represent the rectangle as a pyramid based on the original rectangle and shrinking in the \f$r\f$ direction)
- * - Given a set of points, count how many pairs are \f$d\pm\epsilon\f$ apart (done by looking at the cartesian product of the set
- * of points with itself)
- *
- * Some sample queries that can be written in terms of function minimization over a set of objects are:
- * - Find the intersection between a ray and a triangle mesh closest to the ray origin (function is infinite off the ray)
- * - Given a polyline and a query point, determine the closest point on the polyline to the query
- * - Find the diameter of a point cloud (done by looking at the cartesian product and using negative distance as the function)
- * - Determine how far two meshes are from colliding (this is also a cartesian product query)
- *
- * This implementation decouples the basic algorithms both from the type of hierarchy (and the types of the bounding volumes) and
- * from the particulars of the query. To enable abstraction from the BVH, the BVH is required to implement a generic mechanism
- * for traversal. To abstract from the query, the query is responsible for keeping track of results.
- *
- * To be used in the algorithms, a hierarchy must implement the following traversal mechanism (see KdBVH for a sample implementation): \code
- typedef Volume //the type of bounding volume
- typedef Object //the type of object in the hierarchy
- typedef Index //a reference to a node in the hierarchy--typically an int or a pointer
- typedef VolumeIterator //an iterator type over node children--returns Index
- typedef ObjectIterator //an iterator over object (leaf) children--returns const Object &
- Index getRootIndex() const //returns the index of the hierarchy root
- const Volume &getVolume(Index index) const //returns the bounding volume of the node at given index
- void getChildren(Index index, VolumeIterator &outVBegin, VolumeIterator &outVEnd,
- ObjectIterator &outOBegin, ObjectIterator &outOEnd) const
- //getChildren takes a node index and makes [outVBegin, outVEnd) range over its node children
- //and [outOBegin, outOEnd) range over its object children
- \endcode
- *
- * To use the hierarchy, call BVIntersect or BVMinimize, passing it a BVH (or two, for cartesian product) and a minimizer or intersector.
- * For an intersection query on a single BVH, the intersector encapsulates the query and must provide two functions:
- * \code
- bool intersectVolume(const Volume &volume) //returns true if the query intersects the volume
- bool intersectObject(const Object &object) //returns true if the intersection search should terminate immediately
- \endcode
- * The guarantee that BVIntersect provides is that intersectObject will be called on every object whose bounding volume
- * intersects the query (but possibly on other objects too) unless the search is terminated prematurely. It is the
- * responsibility of the intersectObject function to keep track of the results in whatever manner is appropriate.
- * The cartesian product intersection and the BVMinimize queries are similar--see their individual documentation.
- *
- * The following is a simple but complete example for how to use the BVH to accelerate the search for a closest red-blue point pair:
- * \include BVH_Example.cpp
- * Output: \verbinclude BVH_Example.out
- */
-}
-
-//@{
-
-#include "src/BVH/BVAlgorithms.h"
-#include "src/BVH/KdBVH.h"
-
-//@}
-
-#endif // EIGEN_BVH_MODULE_H