There are 1 repository under kd-tree topic.
This repository provides implementation of an incremental k-d tree for robotic applications.
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
📚《统计学习方法-李航: 笔记》 200页PDF,公式细节讲解🎉
Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.
Geospatial image resampling in Python
A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。@月来客栈 出品
Geo Assist is a spatial library to manage spatial data in-memory.
Absolute balanced kdtree for fast kNN search.
Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.
Benchmark of various spatial data structures for collision detection.
Unreal Engine Plugin: k-d tree
Spatial index library with R*Tree, STR-Tree, Quadtree, CritBit, KD-Tree, CoverTree and PH-Tree
Developing raytracing render from scratch.
libkdtree++ is an STL-like C++ template container implementation of k-dimensional space sorting, using a kd-tree. It sports a theoretically unlimited number of dimensions, and can store any data structure
由时间空间成对组成的轨迹序列,通过循环神经网络lstm,自编码器auto-encode,时空密度聚类st-dbscan做异常检测
Header-Only Collection of Clustering Algorithms for C++
KD-tree and obstacle avoidance implementation in C#
A node.js add-on for performing efficient Nearest Neighbor searches using libkdtree.
A header-only C++ library for k nearest neighbor search with Eigen3.
A C++ header only library for fast nearest neighbor and range searches using a KdTree. It supports interfacing with Eigen, OpenCV, and custom data types and provides optional Python bindings.
Python and C++ examples that show shows how to process 3-D Lidar data by segmenting the ground plane and finding obstacles.
Space partitioning structures visualization
vectorization of the kd-tree data structure and search algorithm
C++ implementation of KDTree & kNN classification on MNIST
Unofficial python wrapper to the nanoflann k-d tree
Process LIDAR point cloud data for object detection. Implements RANSAC and Euclidean clustering with KD-Tree
:pencil2: Pointillisme tool based on Weighted Voronoi Stippling