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2015_structured_indoor_modeling

sim_code

2022-remotesens-fsdcnet

Fusion of a Static and Dynamic Convolutional Neural Network for Multiview 3D Point Cloud Classification (FSDCNet)

2d-gaussian-splatting

[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

2d_nonrigid_tricubic_pointcloud_registration

Prototype implementation of a non-rigid point cloud registration algorithm using piece-wise tricubic polynomials as transformation model.

2dpass

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:

360loc

[CVPR' 24] Toolkit for 360Loc: A Dataset and Benchmark for Omnidirectional Visual Localization with Cross-device Queries Resources

3d-icp-cov

Code for the paper "A New Approach to 3D ICP Covariance Estimation for Mobile Robotics"

3d-mininet

Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

3d-perception-and-modeling

3d-point-cloud-analytics

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

3d-point-cloud-processing-1

Master MVA, ENS Cachan, France: 3D Point Cloud Processing. Implementation of the research article "Segmentation Based Classification of 3D Urban Point Clouds". Very large data processing techniques using kdtree (scikit-learn API), feature computations on 3D points cloud. (Python, Scikit-Learrn))

3d-pointcloud-algorithms-

3d-pointclouds

My homeworks for the MVA course "Point Clouds and 3D Modeling " (teached by F. Goulette, J-E Deschaud and T. Boubekeur)

3d-registration-with-maximal-cliques

Source code of CVPR 2023 paper

3d4em-lod2buildingmodels

Tools produced in 3D4EM, BiaoXiong UTwente

3d_building_reconstruction

MSc Computer Science project. Automatically enhance CityGML LOD2 buildings with facade details, by using a panoramic image sequence and building footprint data. NOTE: Amsterdam Panorama API is currently offline.

3d_buildings

Point cloud of results of aerial laser scanner is given. Code classifies points to ground, vegetation and buildings, finds outline of every building, simplifies it and visualizes buildings in 3D using OpenGL.

3d_nonrigid_tricubic_pointcloud_registration

Non-rigid ICP-like point cloud registration algorithm using piece-wise tricubic polynomials as transformation model.

3d_photobooth

3d_point_organization

3D LiDAR Point Cloud Organized as Depth Map, Height Map and Surface Normal Map

3dbuildinginstanceseg

3dfacade

Deatiled Facade Reconstruction for Mahattan-world Buildings

3dhd_devkit

The DevKit of the 3DHD CityScenes dataset providing a deep learning pipeline for map element recognition and map deviation detection.

3dhoughcircle

Practice HoughCircle of point cloud to find out the circle parameters

3dlabelprop

3dlidar

LiDAR data processing, object recognition from point clouds, and LiDAR remote sensing.

3dlinedetection

A simple and efficient 3D line detection algorithm for large scale unorganized point cloud

3dmedpt

3D Medical Transformer: Attention Networks for Medical Point Cloud Analysis

3dpcp

jacobs university fall 2012 3d point cloud processing homework

3dplan

The 3DPlan algorithm was developed during my diploma thesis, entitled "Automated detection of edges in point clouds using semantic information", at the School of Rural and Surveying Engineering of the National Technical University of Athens, which is available at ThodorisBetsas_DiplomaThesis. At first, the 3DPlan algorithm enriches the given images