aabb8_tree.h

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/** @file
 *  @author Bram de Greve (bram@cocamware.com)
 *  @author Tom De Muer (tom@cocamware.com)
 *
 *  *** BEGIN LICENSE INFORMATION ***
 *  
 *  The contents of this file are subject to the Common Public Attribution License 
 *  Version 1.0 (the "License"); you may not use this file except in compliance with 
 *  the License. You may obtain a copy of the License at 
 *  http://lass.sourceforge.net/cpal-license. The License is based on the 
 *  Mozilla Public License Version 1.1 but Sections 14 and 15 have been added to cover 
 *  use of software over a computer network and provide for limited attribution for 
 *  the Original Developer. In addition, Exhibit A has been modified to be consistent 
 *  with Exhibit B.
 *  
 *  Software distributed under the License is distributed on an "AS IS" basis, WITHOUT 
 *  WARRANTY OF ANY KIND, either express or implied. See the License for the specific 
 *  language governing rights and limitations under the License.
 *  
 *  The Original Code is LASS - Library of Assembled Shared Sources.
 *  
 *  The Initial Developer of the Original Code is Bram de Greve and Tom De Muer.
 *  The Original Developer is the Initial Developer.
 *  
 *  All portions of the code written by the Initial Developer are:
 *  Copyright (C) 2024 the Initial Developer.
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 *
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 *  GNU General Public License Version 2 or later (the GPL), in which case the 
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 *  of your version of this file only under the terms of the GPL and not to allow 
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 *  *** END LICENSE INFORMATION ***
 */
 
 
 
/** @class lass::spat::Aabb8Tree
 *  @brief an 4-ary AABB tree
 *  @author Bram de Greve [BdG]
 * 
 *  This BVH is much like an AABB tree, but with a branching factor of 4. It is
 *  constructed in similar fashion, by recursively splitting the objects into
 *  2 sets along an axis, but then the sets are split again, totalling 4 sets per
 *  node.
 * 
 *  This tree, when used with SAHSplitHeuristics, should be the fastest for ray
 *  intersection tests. For other operations, it's generally faster than AabbTree
 *  if AVX is available. But as always, YMMV.
 *
 *  The Aabb8Tree does NOT own the objects.  You must keep them yourself!
 * 
 *  @note H. Dammertz, J. Hanika, and A. Keller. Shallow bounding volume hierarchies 
 *    for fast SIMD ray tracing of incoherent rays. In Proceedings of the Nineteenth 
 *    Eurographics conference on Rendering 2008 (EGSR '08). Eurographics Association, 
 *    Goslar, DEU, 1225–1233. https://doi.org/10.1111/j.1467-8659.2008.01261.x
 */
 
#pragma once
 
#include "spat_common.h"
#include "default_object_traits.h"
#include "split_heuristics.h"
 
#if LASS_HAVE_AVX
#include <immintrin.h>
#include <xmmintrin.h>
#endif
 
namespace lass
{
namespace spat
{
namespace impl::aabb8
{
 
template <typename T, size_t D>
struct Point
{
    T x[D];
};
 
template <typename T, size_t D>
struct Ray
{
    T support[D];
    T invDir[D];
    bool sign[D];
};
template <typename T, size_t D>
struct Aabb
{
    T corners[D][2];
};
 
template <typename T, size_t D>
struct Aabb8
{
    T corners[8][D][2];
    void set(size_t k, const Aabb<T, D>& aabb);
};
 
#if LASS_HAVE_AVX
 
template <size_t D>
struct alignas(32) Aabb8<float, D>
{
    __m256 corners[D][2];
    void set(size_t k, const Aabb<float, D>& aabb);
};
 
template <size_t D>
struct alignas(32) Aabb8<double, D>
{
    __m256d corners[D][2][2];
    void set(size_t k, const Aabb<double, D>& aabb);
};
 
#endif
 
}
 
 
template
<
    typename ObjectType,
    typename ObjectTraits = DefaultObjectTraits<ObjectType>,
    typename SplitHeuristics = DefaultSplitHeuristics
>
class Aabb8Tree: public SplitHeuristics
{
public:
 
    using TSelf = Aabb8Tree<ObjectType, ObjectTraits, SplitHeuristics>;
 
    using TObject = ObjectType;
    using TObjectTraits = ObjectTraits;
    using TSplitHeuristics = SplitHeuristics;
 
    using TObjectIterator = typename TObjectTraits::TObjectIterator;
    using TObjectReference = typename TObjectTraits::TObjectReference;
    using TAabb = typename TObjectTraits::TAabb;
    using TRay = typename TObjectTraits::TRay;
    using TPoint = typename TObjectTraits::TPoint;
    using TVector = typename TObjectTraits::TVector;
    using TValue = typename TObjectTraits::TValue;
    using TParam = typename TObjectTraits::TParam;
    using TReference = typename TObjectTraits::TReference;
    using TConstReference = typename TObjectTraits::TConstReference;
    using TInfo = typename TObjectTraits::TInfo;
 
    using TNumTraits = num::NumTraits<TValue>;
 
    using TObjectIterators = std::vector<TObjectIterator>;
 
    class Neighbour
    {
    public:
        Neighbour() {}
        Neighbour(TObjectIterator object, TValue squaredDistance):
            object_(object), squaredDistance_(squaredDistance) {}
        TObjectIterator object() const { return object_; }
        TValue squaredDistance() const { return squaredDistance_; }
        TObjectIterator operator->() const { return object_; }
        TObjectReference operator*() const { return TObjectTraits::object(object_); }
        bool operator<(const Neighbour& other) const { return squaredDistance_ < other.squaredDistance_; }
    private:
        TObjectIterator object_;
        TValue squaredDistance_;
    };
 
    constexpr static size_t dimension = TObjectTraits::dimension;
    constexpr static size_t defaultMaxObjectsPerLeaf = 1;
    constexpr static size_t defaultMaxDepth = 20;
 
    Aabb8Tree(TSplitHeuristics heuristics = TSplitHeuristics(defaultMaxObjectsPerLeaf, defaultMaxDepth));
    Aabb8Tree(TObjectIterator first, TObjectIterator last, TSplitHeuristics heuristics = TSplitHeuristics(defaultMaxObjectsPerLeaf, defaultMaxDepth));
    Aabb8Tree(TSelf&& other) noexcept;
 
    TSelf& operator=(TSelf&& other) noexcept;
 
    void reset();
    void reset(TObjectIterator first, TObjectIterator last);
 
    const TAabb aabb() const;
 
    bool contains(const TPoint& point, const TInfo* info = 0) const;
 
    template <typename OutputIterator> 
    OutputIterator find(const TPoint& point, OutputIterator result, const TInfo* info = 0) const;
    template <typename OutputIterator>
    OutputIterator find(const TAabb& box, OutputIterator result, const TInfo* info = 0) const;
    template <typename OutputIterator>
    OutputIterator find(const TRay& ray, TParam tMin, TParam tMax, OutputIterator result, const TInfo* info = 0) const;
 
    TObjectIterator intersect(const TRay& ray, TReference t, TParam tMin = 0, const TInfo* info = 0) const;
    bool intersects(const TRay& ray, TParam tMin = 0, TParam tMax = std::numeric_limits<TValue>::infinity(), const TInfo* info = 0) const;
 
    const Neighbour nearestNeighbour(const TPoint& point, const TInfo* info = 0) const;
    template <typename RandomIterator>
    RandomIterator rangeSearch(const TPoint& center, TParam maxRadius, size_t maxCount, RandomIterator first, const TInfo* info = 0) const;
 
    bool isEmpty() const;
    const TObjectIterator end() const;
    void swap(TSelf& other);
 
private:
 
    constexpr static size_t stackSize_ = 256;
 
    using TIndex = unsigned;
    using TAxis = int;
 
    struct Input
    {
        TAabb aabb;
        TObjectIterator object;
        Input(const TAabb& aabb, TObjectIterator object): aabb(aabb), object(object) {}
    };
    using TInputs = std::vector<Input>;
    using TInputIterator = typename TInputs::iterator;
 
    class Child
    {
    public:
        constexpr static size_t countBits = 4; ///< number of bits for object count
        constexpr static TIndex maxCount = 1 << countBits; ///< max number of objects per node
        constexpr static TIndex maxObject = static_cast<TIndex>(std::numeric_limits<int>::max()) >> countBits; ///< max object index
        constexpr static TIndex maxNode = static_cast<TIndex>(std::numeric_limits<int>::max()) - 1; ///< max node index
 
        /** Constructs an empty node */
        Child(): index_(0) {}
 
        /** Constructs an internal node */
        explicit Child(TIndex node):
            index_(static_cast<int>(node + 1))
        { 
            LASS_ASSERT(index_ > 0);
        }
 
        /** Constructs a leaf node with the given range of objects. */
        Child(TIndex first, TIndex count):
            index_( -static_cast<int>((first << countBits) | (count - 1)) - 1 )
        {
            LASS_ASSERT(index_ < 0);
            LASS_ASSERT((first >= 0) && (count > 0 && count <= maxCount) && (first + count -1 <= maxObject));
        }
 
        bool isEmpty() const { return !index_; }
        bool isInternal() const { return index_ >  0; } ///< true if child is internal node
        bool isLeaf() const { return index_ < 0; } ///< true if child contains objects
        TIndex node() const { LASS_ASSERT(index_ > 0); return static_cast<TIndex>(index_ - 1); } ///< index of internal child node
        TIndex first() const { LASS_ASSERT(index_ < 0); return static_cast<TIndex>(-(index_ + 1)) >> countBits; } ///< index of first object in leaf node
        TIndex count() const { LASS_ASSERT(index_ < 0); return (static_cast<TIndex>(-(index_ + 1)) & (maxCount - 1)) + 1; } /// < number of objects in leaf node
 
    private:
        int index_;
    };
 
    using TPoint_ = impl::aabb8::Point<TValue, dimension>;
    using TRay_ = impl::aabb8::Ray<TValue, dimension>;
    using TAabb_ = impl::aabb8::Aabb<TValue, dimension>;
    using TQAabb_ = impl::aabb8::Aabb8<TValue, dimension>;
 
    struct alignas(64) Node
    {
        TQAabb_ bounds;
        Child children[8];
        TAxis axis[7];
    };
 
    using TNodes = std::vector<Node>;
 
    using TSplitInfo = SplitInfo<TObjectTraits>;
 
    Child balance(TInputIterator first, TInputIterator last, TAabb& bounds);
    TSplitInfo forceSplit(const TAabb& bounds);
 
    bool doContains(Child root, const TPoint& point, const TInfo* info) const;
 
    template <typename OutputIterator> 
    OutputIterator doFind(Child root, const TPoint& point, OutputIterator result, const TInfo* info) const;
    template <typename OutputIterator> 
    OutputIterator doFind(Child root, const TAabb& box, OutputIterator result, const TInfo* info) const;
    template <typename OutputIterator> 
    OutputIterator doFind(Child root, const TRay& ray, const TVector& invDir, TParam tMin, TParam tMax, OutputIterator result, const TInfo* info) const;
 
    TObjectIterator doIntersect(Child root, const TRay& ray, const TVector& invDir, TReference t, TParam tMin, const TInfo* info) const;
    bool doIntersects(Child root, const TRay& ray, const TVector& invDir, TParam tMin, TParam tMax, const TInfo* info) const;
 
    void doNearestNeighbour(Child root, const TPoint& point, const TInfo* info, Neighbour& best) const;
    template <typename RandomIterator>
    RandomIterator doRangeSearch(Child root, const TPoint& center, TReference squaredRadius, size_t maxCount, RandomIterator first, RandomIterator last, const TInfo* info) const;
 
    bool volumeIntersect(const TAabb& box, const TRay& ray, const TVector& invDir, TReference t, TParam tMin) const;
    bool volumeIntersects(const TAabb& box, const TRay& ray, const TVector& invDir, TParam tMin, TParam tMax) const;
 
    static TPoint_ makePoint(const TPoint& point);
    static TRay_ makeRay(const TRay& ray);
    static TAabb_ makeAabb(const TAabb& aabb);
 
    TAabb aabb_;
    TNodes nodes_;
    TObjectIterators objects_;
    std::unique_ptr<TObjectIterator> end_;
    Child root_;
};
 
} // namespace spat
} // namespace lass
 
#include "aabb8_tree.inl"