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Refactoring of adaptive cubic / support cubic:

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1) Octree is built directly from the triangle mesh by checking
   overlap of a triangle with an octree cell. This shall produce
   a tighter octree with less dense cells.
2) The same method is used for both the adaptive / support cubic infill,
   where for the support cubic infill the non-overhang triangles are
   ignored.
The AABB tree is no more used.
3) Optimized extraction of continuous infill lines in O(1) instead of O(n^2)
This commit is contained in:
Vojtech Bubnik 2020-09-17 18:39:28 +02:00
parent acdd5716bd
commit 37c5fe9923
16 changed files with 658 additions and 554 deletions
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12
src/admesh/stl.h
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@ -255,18 +255,24 @@ extern void its_transform(indexed_triangle_set &its, T *trafo3x4)
}
template<typename T>
inline void its_transform(indexed_triangle_set &its, const Eigen::Transform<T, 3, Eigen::Affine, Eigen::DontAlign>& t)
inline void its_transform(indexed_triangle_set &its, const Eigen::Transform<T, 3, Eigen::Affine, Eigen::DontAlign>& t, bool fix_left_handed = false)
{
//const Eigen::Matrix<double, 3, 3, Eigen::DontAlign> r = t.matrix().template block<3, 3>(0, 0);
for (stl_vertex &v : its.vertices)
v = (t * v.template cast<T>()).template cast<float>().eval();
if (fix_left_handed && t.matrix().block(0, 0, 3, 3).determinant() < 0.)
for (stl_triangle_vertex_indices &i : its.indices)
std::swap(i[0], i[1]);
}
template<typename T>
inline void its_transform(indexed_triangle_set &its, const Eigen::Matrix<T, 3, 3, Eigen::DontAlign>& m)
inline void its_transform(indexed_triangle_set &its, const Eigen::Matrix<T, 3, 3, Eigen::DontAlign>& m, bool fix_left_handed = false)
{
for (stl_vertex &v : its.vertices)
for (stl_vertex &v : its.vertices)
v = (m * v.template cast<T>()).template cast<float>().eval();
if (fix_left_handed && m.determinant() < 0.)
for (stl_triangle_vertex_indices &i : its.indices)
std::swap(i[0], i[1]);
}
extern void its_rotate_x(indexed_triangle_set &its, float angle);