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NNU-GISA's Projects

3dhoughcircle icon 3dhoughcircle

Practice HoughCircle of point cloud to find out the circle parameters

3dinv icon 3dinv

3D Indoor Navigation Viewer for Indoor GML

3dkeypoints-da icon 3dkeypoints-da

Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency

3dlinedetection icon 3dlinedetection

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

3dlondon icon 3dlondon

PostGIS/Python CGI and JavaScript functions to generate map of 3D buildings in London from UKMap data using LeafletJS and OSM Buildings

3dmatch-toolbox icon 3dmatch-toolbox

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

3dmcap icon 3dmcap

3-Demeter Capture is a tool for building 3-D point clouds from images

3dmeshbulksimplification icon 3dmeshbulksimplification

A Python tool to simplify a Mesh (With and Without Textures) to a specific Number of Faces using the MeshlabXML Library

3dmfv-net icon 3dmfv-net

Point cloud classification in Real-time using 3DmFV representation and CNNs

3dmfv-tutorial icon 3dmfv-tutorial

This repository contains the python files from the blog post of 3DmFV tutorial

3dmm_cnn icon 3dmm_cnn

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

3dmm_edges icon 3dmm_edges

Matlab implementation of algorithm for fitting 3D Morphable Model to images using edge features

3dmmasstn icon 3dmmasstn

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

3dmms_public icon 3dmms_public

This repository is the implementation of 3DMMS algorithm.

3dmnn icon 3dmnn

Research purposing a Deep Learning based pipeline and architecture towards conditional Point Cloud and 3D Object generation.

3dmodelmanipulator icon 3dmodelmanipulator

A 3D model manipulator based on ridge-valley lines, and realized with the help of OpenSceneGraph.

3dmorph icon 3dmorph

3DMorph is a MATLAB-based script that analyzes microglia morphology from 3D data. Outputs include cell and territorial volume, branch length, and number of branch and end points.

3dmultimodel icon 3dmultimodel

Code for 3D Convolutional Neural Network with Multi-Model Framework for Action Recognition

3dmv icon 3dmv

[ECCV'18] 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation

3dn icon 3dn

3DN: 3D Deformation Network, CVPR 2019

3dod_thesis icon 3dod_thesis

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

3dpcp icon 3dpcp

jacobs university fall 2012 3d point cloud processing homework

3dperception icon 3dperception

Computer vision perception pipeline (point cloud filtering, segmentation, feature extraction, object recognition) for pick & place operation

3dplan icon 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 with a new channel including the edge semantic information. Thus the three-channel images (RGB) are transformed into four-channel (RGBL). Afterwards, the four-channel images are inserted into an SfM-MVS software to produce initially a sparse and finally, a dense point cloud which is enriched with the edge semantic information.

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