There are 1 repository under kd-tree topic.
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. 常见机器学习算法原理与实现
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.
Spatial index library with R*Tree, STR-Tree, Quadtree, CritBit, KD-Tree, CoverTree and PH-Tree
Unreal Engine Plugin: k-d tree
Developing raytracing render from scratch.
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
A node.js add-on for performing efficient Nearest Neighbor searches using libkdtree.
KD-tree and obstacle avoidance implementation in C#
A header-only C++ library for k nearest neighbor search with Eigen3.
Header-Only Collection of Clustering Algorithms for C++
Space partitioning structures visualization
Python and C++ examples that show shows how to process 3-D Lidar data by segmenting the ground plane and finding obstacles.
:pencil2: Pointillisme tool based on Weighted Voronoi Stippling
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
Query-Aware LSH for Approximate NNS (PVLDB 2015 and VLDBJ 2017)
Intelligent monitoring of escalator.Function including traffic statistics,passenger retention detection and large object retention detection in escalator floor board. As well as human keypoints extraction and tracking in elevator.
Obstacle detection using lidar point cloud