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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. Nearest neighbor search - Wikipedia

    en.wikipedia.org/wiki/Nearest_neighbor_search

    For constant dimension query time, average complexity is O(log N) [6] in the case of randomly distributed points, worst case complexity is O(kN^(1-1/k)) [7] Alternatively the R-tree data structure was designed to support nearest neighbor search in dynamic context, as it has efficient algorithms for insertions and deletions such as the R* tree. [8]

  4. Iterative closest point - Wikipedia

    en.wikipedia.org/wiki/Iterative_Closest_Point

    Zhang [4] proposes a modified k-d tree algorithm for efficient closest point computation. In this work a statistical method based on the distance distribution is used to deal with outliers, occlusion, appearance, and disappearance, which enables subset-subset matching.

  5. 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

  6. 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]).

  7. 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 ...

  8. 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 ...

  9. Kd-tree - Wikipedia

    en.wikipedia.org/?title=Kd-tree&redirect=no

    This page was last edited on 13 June 2011, at 20:46 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may ...