Week 4 and 5: 3D visualization and Data Integration

Mandatory Readings

* *

Lecture - Big data modelling and visualisation for Digital Twins? | Dr. Mila Koeva

Link to video

Assignment 3 (non graded)

COLLECTION AND INTERACTION - Write one to two pages

• What data would you need for your digital twin?
• Which data is available? Explain which data is OpenSource and which one is propietary. Where and how can you access to these data?
• Download 3D objects or LIDAR data from your study area (show source and describe the data. Include images)
• Download supplementary data (what type of data, show source and describe data)

Live office hour

Join the MS-Teams live kick-off meeting on 13th December, 1pm - CEST

Suplementary Material - Optional

Check the tutorials of our friend and colleague Dr. Florent Poux on 3D data processing:

✅ Tutorial 1 (3D Reconstruction): The Ultimate Guide to 3D Reconstruction with Photogrammetry

✅ Tutorial 2 (3D Data Processing): How to Automate Voxel Modelling of 3D Point Cloud with Python

✅ Tutorial 3 (3D AI Recognition): 3D Machine Learning 201 Guide, Point Cloud Semantic Segmentation

✅ Tutorial 4 (3D Workflow Application): 3D Python Workflows for LiDAR City Models, A Step-by-Step Guide

✅ Tutorial 5 (3D AI Segmentation): Segment Anything 3D for Point Clouds, Complete Guide (SAM 3D)