A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Simultaneous object detection and tracking using center points.

3DSSD: Point-based 3D Single Stage Object Detector (CVPR 2020)

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

World's first general purpose 3D object detection codebse.

tensorrt5 , centernet , centerface, deform conv, int8

COLMAP - Structure-from-Motion and Multi-View Stereo

A Robust and Versatile Monocular Visual-Inertial State Estimator

PyTorch Extension Library of Optimized Scatter Operations

USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds. ICCV 2019

Waymo Open Dataset

realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)

SECOND for KITTI/NuScenes object detection

High Performance Chinese License Plate Recognition Framework.

(ICRA) Anytime Stereo Image Depth Estimation on Mobile Devices

Point Cloud Library (PCL)

Open3D: A Modern Library for 3D Data Processing

Porting Windows Dynamic Link Libraries to Linux

try to implement halcon shape based matching, refer to machine vision algorithms and applications, page 317 3.11.5, written by halcon engineers

Semantic Segmentation Architectures Implemented in PyTorch

Caffe: a fast open framework for deep learning.