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  2. k-d tree - Wikipedia

    en.wikipedia.org/wiki/K-d_tree

    In computer science, a k-d tree (short for k-dimensional tree) is a space-partitioning data structure for organizing points in a k-dimensional space. K-dimensional is that which concerns exactly k orthogonal axes or a space of any number of dimensions. [1] k-d trees are a useful data structure for several applications, such as:

  3. File:Kdtreeogg.ogv - Wikipedia

    en.wikipedia.org/wiki/File:Kdtreeogg.ogv

    English: k-d tree nearest neighbor search animation video. The tree is implicitly built, each node corresponds to a rectangle, rectangles with a single point are represented in the leaves, and each rectangle is split in two equal parts. Source code

  4. OpenCV - Wikipedia

    en.wikipedia.org/wiki/OpenCV

    OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. [2] Originally developed by Intel, it was later supported by Willow Garage, then Itseez (which was later acquired by Intel [3]).

  5. Iterative closest point - Wikipedia

    en.wikipedia.org/wiki/Iterative_Closest_Point

    Open source C++ implementations of the ICP algorithm are available in VTK, ITK and Open3D libraries. libpointmatcher is an implementation of point-to-point and point-to-plane ICP released under a BSD license. simpleICP is an implementation of a rather simple version of the ICP algorithm in various languages.

  6. Bounding interval hierarchy - Wikipedia

    en.wikipedia.org/wiki/Bounding_interval_hierarchy

    Bounding interval hierarchies (BIH) exhibit many of the properties of both bounding volume hierarchies (BVH) and kd-trees. Whereas the construction and storage of BIH is comparable to that of BVH, the traversal of BIH resemble that of kd-trees. Furthermore, BIH are also binary trees just like kd-trees (and in fact their superset, BSP trees ...

  7. K-D-B-tree - Wikipedia

    en.wikipedia.org/wiki/K-D-B-tree

    In computer science, a K-D-B-tree (k-dimensional B-tree) is a tree data structure for subdividing a k-dimensional search space. The aim of the K-D-B-tree is to provide the search efficiency of a balanced k-d tree , while providing the block-oriented storage of a B-tree for optimizing external memory accesses.

  8. Relaxed k-d tree - Wikipedia

    en.wikipedia.org/wiki/Relaxed_k-d_tree

    If K = 1, a relaxed K-d tree is a binary search tree. As in a K-d tree, a relaxed K-d tree of size n induces a partition of the domain D into n+1 regions, each corresponding to a leaf in the K-d tree. The bounding box (or bounds array) of a node {x,j} is the region of the space delimited by the leaf in which x falls when it is inserted into the ...

  9. Point Cloud Library - Wikipedia

    en.wikipedia.org/wiki/Point_Cloud_Library

    For example, PCL participated in the Google Summer of Code 2020 initiative with three projects. One was the extension of PCL for use with Python using Pybind11. [9] A large number of examples and tutorials are available on the PCL website, either as C++ source files or as tutorials with a detailed description and explanation of the individual ...