Submissions for each practical work done in the context of the NPM3D course of the MVA.
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Updated
Mar 12, 2023 - Python
Submissions for each practical work done in the context of the NPM3D course of the MVA.
TypeScript implementation of iterative closest point (ICP) for point cloud registration
ICCV 2021 papers and code focus on point cloud analysis
FLS point cloud registration library.
Assignments covered as a part of the course Mobile-Robotics in Monsoon 2021
Registration of human MRT point clouds
[IV2023] HD2Reg: Hierarchical Descriptors and Detectors for Point Cloud Registration
[IEEE TMM 2024] IGReg: Image-Geometry-Assisted Point Cloud Registration via Selective Correlation Fusion
GPU-Accelerated Approximate Nearest Neighbor Search for ICP Registration via Voxel Dilation
Unsupervised Point Cloud Pose Canonicalization By Approximating the Plane/s of Symmetry
We refined the quantile assignment algorithm by integrating prevalent feature descriptors and transformation estimation methods to enhance the correspondence between the source and target point clouds.
This repository contains the code developed for my MSc project titled "Exploring Photogrammetry for High-Fidelity 3D Model Generation: A Power Grid Inspection Study", as well as some of the results. The thesis was written in collaboration with SINTEF, and the degree issued by DTU. The full thesis can be downloaded from the below link.
TDAzureMerger: a Point-Cloud Merger for Azure Kinects.
Single-Header Reference Implementation of Rigid Coherent Point Drift in C++ / Eigen3 in < 80 LOC
[IEEE TGRS 2024] A novel method for registration of MLS and stereo reconstructed point clouds
SJTU CS473 Project: Implementation of Deep Closest Point in TensorFlow, and its comparison with other registration methods.
This package uses a TurtleBot3 robot with an Intel RealSense D435i depth camera and creates point clouds of Gazebo environments.
[IEEE TGRS] SphereNet: Learning a Noise-Robust and General Descriptor for Point Cloud Registration
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