3D Point Cloud Processing - General Applications Open3D - Python
-
Updated
Mar 20, 2023 - Python
A point cloud is a set of data points in space. The points represent a 3D shape or object. Each point has its set of X, Y and Z coordinates.
3D Point Cloud Processing - General Applications Open3D - Python
[ICPR 2020] PS2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds
This is fork of the research paper :"Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR " which I implemented for Computer Vision coursework. Contains presentation slides and code implementation in ROS.
Compute geometric features of a 3D point cloud from a .LAS file
This project is a DL model that performs 3D shape (voxelization) generation. It takes text prompts and produces 3D shapes. The model is implemented using supervised learning and has been tested on pytorch.
A monocular depth estimation demo with point cloud viewer
This repository refers to my master's thesis in the Data Science at Sapienza University. The objective is to build a model in order to perform the task of 3D fragment matching. Given two 3D scans of fragments, the model must predict whether they are adjacent or not.
🥈 3D Eye Point Cloud Segmentation Challenge - OpenEDS 2021
[AAAI 2024] M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking
A three-dimensional LIDAR scanner built as part of ASTR 202 in Spring 2018 (Wellesley College)
[Testing repo for conan-center-index] Conan recipes for draco
Next Best View - Maximum Entropy Viewpoint Selection
Tracking of a red ball thrown and fitting of Point Clouds without using OpenCV High Level Functions.
Implementation of two phase field approaches for the surface reconstruction problem. One based of the Modica-Mortola theorem and the other based on Ambrosio-Tortorelli | Master Thesis
Geometry to Parameter Mapping based on Neural Networks. Point Cloud Regression Problem
Native Python implementation of an SVD-based variant of the Iterative Closest Point (ICP) algorithm for matching 2 point clouds.