I\'ve got a recursive function (on tree) and I need to make it work without recursion and representing the tree as an implicit data structure (array).
I\'m implementing a KD-tree to cluster points a map into groups. I\'ve been using Wikipedia\'s KD-tree article as a reference. The search returns the correct nearest neighbor point, but it is slower t
I looked at the开发者_StackOverflow中文版 definition of KD-tree and R-tree. It seems to me that they are almost the same.
I\'m working on a personal project to implement a 2-dimensional kd-tree construction algorithm in C++.
I am trying to build KD Tree (static case). We assume points are sorted on both x and y coordinates. For even depth of recursion the set is split into two subsets with a vertical line going through m
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after one day of trying to figure out how to implement a kd-tree in OpenGL/GLSL i am pretty frustrated ...
I have used KD-tree(libkdtree++) to store开发者_开发技巧 a multi-dimensional data set, and the requirements here is this data set can support top-k/range queries on different dimensions. For example,
I came across an implementation of the nearest neighbor algorithm for finding matches between certain keypoints in two similar images. The keypoints were generated by the SIFT algorithm. The points ar
I\'m raytracing and would like to speed it up via some acceleration structure (kd-tree, BVH, whatever). I don\'t want to code it up myself. What I\'ve tried so far:
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