53 lines
1.9 KiB
C++
53 lines
1.9 KiB
C++
// This file is part of libigl, a simple c++ geometry processing library.
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//
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// Copyright (C) 2018 Gavin Barill <gavinpcb@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla Public License
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// v. 2.0. If a copy of the MPL was not distributed with this file, You can
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// obtain one at http://mozilla.org/MPL/2.0/
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#ifndef IGL_KNN
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#define IGL_KNN
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#include "igl_inline.h"
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#include <Eigen/Core>
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#include <vector>
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namespace igl
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{
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// Given a 3D set of points P, an whole number k, and an octree
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// find the indicies of the k nearest neighbors for each point in P.
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// Note that each point is its own neighbor.
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//
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// The octree data structures used in this function are intended to be the
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// same ones output from igl::octree
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//
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// Inputs:
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// P #P by 3 list of point locations
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// k number of neighbors to find
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// point_indices a vector of vectors, where the ith entry is a vector of
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// the indices into P that are the ith octree cell's points
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// CH #OctreeCells by 8, where the ith row is the indices of
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// the ith octree cell's children
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// CN #OctreeCells by 3, where the ith row is a 3d row vector
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// representing the position of the ith cell's center
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// W #OctreeCells, a vector where the ith entry is the width
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// of the ith octree cell
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// Outputs:
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// I #P by k list of k-nearest-neighbor indices into P
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template <typename DerivedP, typename KType, typename IndexType,
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typename DerivedCH, typename DerivedCN, typename DerivedW,
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typename DerivedI>
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IGL_INLINE void knn(const Eigen::MatrixBase<DerivedP>& P,
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const KType & k,
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const std::vector<std::vector<IndexType> > & point_indices,
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const Eigen::MatrixBase<DerivedCH>& CH,
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const Eigen::MatrixBase<DerivedCN>& CN,
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const Eigen::MatrixBase<DerivedW>& W,
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Eigen::PlainObjectBase<DerivedI> & I);
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}
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#ifndef IGL_STATIC_LIBRARY
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# include "knn.cpp"
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#endif
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#endif
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