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3d-point-cloud-analytics

Portfolio for 3D Point Cloud Processing from www.shenlanxueyuan.com China

accel

acsc

Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems

alsnet

Neural network model for classification of airborne laser scanning data, implementing PointNet.

apollo

An open autonomous driving platform

apollo-kernel

Collections of Apollo Kernels

apollo-platform

Collections of Apollo Platform Software

approxmvbb

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

autonomous_exploration_development_environment

Leveraging system development and robot deployment for ground-based autonomous navigation and exploration.

awesome-3d-point-cloud-semantic-segement

3D点云语义分割汇总

balm

bimos

Binary descriptor-based Image Mosaicing

brics_3d

BRICS_3D - 3D Perception and Modeling Library

calibration

multi camera calibration

calidar

code to calibrate the internal parameters of spinning lidar sensors

camera-to-arm-calibration

Matlab toolbox for finding the transformation from a camera to a robotic arms base

camvox

A low-cost SLAM system based on camera and Livox lidar.

clamr

Cell-Based Adaptive Mesh Refinement

cmvs-pmvs

This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).

cuda_emicp_softassign

CUDA-based implementations of Softassign and EM-ICP

d3feat

Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

d3feat.pytorch

[PyTorch] Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

dare

Density Adaptive Point Set Registration

dataprocessing

C++ Source Code: Applications for data processing / precomputing

decentralized_loam

delaunay-triangulator-2d

Automatically exported from code.google.com/p/delaunay-triangulator-2d

depth_clustering

Fast and robust clustering of point clouds generated with a Velodyne sensor.

e3d

Efficient Methods for 3D Deep Learning

elasticreconstruction

3D reconstruction system to creating detailed scene geometry from range video.

elgs

Code for the paper: Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations