搜索资源列表
Kd-tree
- KD 树代码，常见的数据搜索算法，比较实用-KD tree code, common data search algorithms, more practical
sift_robhess.rar
- Rob Hess Linux下的SIFT提取源码，金字塔采样和高斯差分提取特征点，KD树搜索寻找同名点，RANSAC去粗差,Rob Hess Linux source code under the SIFT extraction, sampling and Gaussian pyramid differential extraction of feature points, KD tree search to find the same name, points, RANSAC to gross
c++实现的KNN库:建立高维度的K-d tree
- c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索，最小半径搜索-K-NN algorithm implementation. It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
KD-Tree
- 光线追踪的cuda程序，基于cuda实现，大大加速了速度。-Cuda ray tracing program, based on cuda implementation, greatly accelerating the speed.
SIFT_area_match
- SIFT算法的区域匹配，比原有的SIFT+KD树匹配更加高效、准确。-different area SIFT algorithm which is better than the original SIFT and KD tree match.
kdtree
- kd树类的实现。内部提供了三种搜索方法。-kd tree class implementation。
kdtree
- K-D树源码，不错的空间查找算法，在三维重建和匹配中应用较多！-KD tree source, good space search algorithm, in the three-dimensional reconstruction and matching the application of more!
KD_Tree
- KD_Tree In computer science, a kd-tree (short for k-dimensional tree) is a space-partitioning data structure for organizing points in a k-dimensional space. kd-trees are a useful data structure for several applications, such as searches involving a m
kdtree-0.5.4.tar
- kd tree implementation java
sift-1.1.1_20071108_win
- Rob Hess的SIFT算法的C语言实现(基于OpenCV),金字塔采样和高斯差分提取特征点，K-D树寻找同名点，RANSAC去粗差-Rob Hess of the SIFT algorithm C language (based on OpenCV), sampling and Gaussian pyramid differential extraction of feature points, KD tree search for points of the same name, RANS
kd-trees
- 数据结构的选择与算法效率——从IOI98试题PICTURE谈起 高级数据结构：线段树-The choice of data structure and algorithm efficiency- from IOI98 questions about high-level data structure PICTURE: segment tree
libkdtree_0.7.0
- 一个KD-tree的类STL模板库，版本为0.7.0-libkdtree++ is an STL-like C++ template container implementation of k-dimensional space sorting, using a kd-tree.
kdtree2.tar
- kd tree java implementation 2
KdTree
- this class is an implementation of the kd-tree algorithm
kd_tree
- 一个高效的k-d tree实现，可以广泛的应用与图形图像处理。-K nearest neighbor search based on KD-tree
flann-1.2-src
- 快速近似KNN库，是一个对于kd-tree的实现。可以用它实现特征向量的匹配。-Fast approximate KNN library, is one for the kd-tree implementation. You can use it to achieve the feature vector matching.
KDnnTree
- KDnnTree for KD tree construct and search for nearest neighbour
An_intoductory_tutorial_on_kd_trees
- 一篇介绍kd-tree算法的比较实用的英文文章，内容详细，有利于初学者使用！-Kd-tree algorithm is a descr iption of the more practical English articles, detailed help beginners to use!
KD-tree
- C++构建简单的KD树并查找K近邻，是一篇文档，内附代码，代码亲测可用(C++ to build a simple KD tree, and find K nearest neighbor, is a document, enclosing code, code pro test available)
kd-tree
- kd-tree点云索引方法，源码以及应用实例解析(kd-tree point cloud code)