pointcloudprocessing

Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018

New Blender 3.0* / 3.1 PLY importer v2.0 for point clouds and nonstandard models.

Configurable point cloud registration pipeline.

This is a software for finely removing non-ground points from point clouds.

A fast and simple method for multi-planes detection from point cloud

A unified library for 3D data processing with both c++ and python API

PyTorch Implementation of "diffConv: Analyzing Irregular Point Clouds with an Irregular View" (ECCV 2022)

A unified library for fitting primitives from 3D point cloud data with both C++&Python API.

MandelBrot Fractal Explorer

ROS package for stereo matching and point cloud projection using AANet (Adaptive Aggregation Network for Efficient Stereo Matching, CVPR 2020)

Minimal API for obtaining PCL pointcloud using Intel realsense camera.

Lidar project for obstacle detection using PointCloud library.

A repository for a set of computer vision modules, developed by students in Vortex NTNU for use in the AUV and ASV software stacks.

This is the implementation for the reconstruction of 3D scans. These uses multiple algorithms to scale and reconstruct the point cloud in order to obtain valid results

3ِD Change Detection In Point Cloud

Research notebooks on CV automation techniques

A curated list of awesome Point Cloud Processing algorithms

A useful tool to cut a set of point cloud into two parts with a designed IoU (overlapping)

The "Knowledge-based object Detection in Image and Point cloud" (KnowDIP) project aims at the conception of a framework for automatic object detection in unstructured and heterogeneous data. This framework uses a representation of human knowledge in order to improve the flexibility, accuracy, and efficiency of data processing.