Feature: AABB tree for lines

Small refactoring of AABB tree distance query function, to allow different primitives (apart from triangles)
Implemented Distancer and functions to create AABB tree from lines and use closest point query
Added test for the AABBTree with lines
Added Benchmark comparing EdgeGrid with AABBTree on line contours (Inside AABBTree test file, disabled under compilation flag)
This commit is contained in:
PavelMikus 2022-05-12 12:55:10 +02:00
parent 1d9d9cf001
commit d0c08ec5c1
3 changed files with 473 additions and 67 deletions

View file

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#ifndef SRC_LIBSLIC3R_AABBTREELINES_HPP_
#define SRC_LIBSLIC3R_AABBTREELINES_HPP_
#include "libslic3r/Point.hpp"
#include "libslic3r/EdgeGrid.hpp"
#include "libslic3r/AABBTreeIndirect.hpp"
#include "libslic3r/Line.hpp"
namespace Slic3r {
namespace AABBTreeLines {
namespace detail {
template<typename ALineType, typename ATreeType, typename AVectorType>
struct IndexedLinesDistancer {
using LineType = ALineType;
using TreeType = ATreeType;
using VectorType = AVectorType;
using ScalarType = typename VectorType::Scalar;
const std::vector<LineType> &lines;
const TreeType &tree;
const VectorType origin;
inline VectorType closest_point_to_origin(size_t primitive_index,
ScalarType &squared_distance) {
VectorType nearest_point;
const LineType &line = lines[primitive_index];
squared_distance = line_alg::distance_to_squared(line, origin, &nearest_point);
return nearest_point;
}
};
}
// Build a balanced AABB Tree over a vector of float lines, balancing the tree
// on centroids of the lines.
// Epsilon is applied to the bounding boxes of the AABB Tree to cope with numeric inaccuracies
// during tree traversal.
template<typename LineType>
inline AABBTreeIndirect::Tree<2, typename LineType::Scalar> build_aabb_tree_over_indexed_lines(
const std::vector<LineType> &lines,
//FIXME do we want to apply an epsilon?
const float eps = 0)
{
using TreeType = AABBTreeIndirect::Tree<2, typename LineType::Scalar>;
// using CoordType = typename TreeType::CoordType;
using VectorType = typename TreeType::VectorType;
using BoundingBox = typename TreeType::BoundingBox;
struct InputType {
size_t idx() const {
return m_idx;
}
const BoundingBox& bbox() const {
return m_bbox;
}
const VectorType& centroid() const {
return m_centroid;
}
size_t m_idx;
BoundingBox m_bbox;
VectorType m_centroid;
};
std::vector<InputType> input;
input.reserve(lines.size());
const VectorType veps(eps, eps);
for (size_t i = 0; i < lines.size(); ++i) {
const LineType &line = lines[i];
InputType n;
n.m_idx = i;
n.m_centroid = (line.a + line.b) * 0.5;
n.m_bbox = BoundingBox(line.a, line.a);
n.m_bbox.extend(line.b);
n.m_bbox.min() -= veps;
n.m_bbox.max() += veps;
input.emplace_back(n);
}
TreeType out;
out.build(std::move(input));
return out;
}
// Finding a closest line, its closest point and squared distance to the closest point
// Returns squared distance to the closest point or -1 if the input is empty.
template<typename LineType, typename TreeType, typename VectorType>
inline typename VectorType::Scalar squared_distance_to_indexed_lines(
const std::vector<LineType> &lines,
const TreeType &tree,
const VectorType &point,
size_t &hit_idx_out,
Eigen::PlainObjectBase<VectorType> &hit_point_out)
{
using Scalar = typename VectorType::Scalar;
auto distancer = detail::IndexedLinesDistancer<LineType, TreeType, VectorType>
{ lines, tree, point };
return tree.empty() ?
Scalar(-1) :
AABBTreeIndirect::detail::squared_distance_to_indexed_primitives_recursive(distancer, size_t(0), Scalar(0),
std::numeric_limits<Scalar>::infinity(), hit_idx_out, hit_point_out);
}
}
}
#endif /* SRC_LIBSLIC3R_AABBTREELINES_HPP_ */