Sviluppo di Modelli Computazionali 3D

(3D Models Generation)

Information

• Lecturers: Dr. Francesco Banterle and Dr. Gianpaolo Palma
• Official e-mail: sviluppodimodelli3d@gmail.com
• Period: 2nd Term
• Time:
  • Tuesday: from 16:30 to 19:30; Etr. F1
  • Wednesday: from 11:30 to 13:30; SI7

Abstract

This course introduces methods and techniques for generating 3D models from medical images (CT, MRI, etc.),  2D photographs (structure-from-motion + densification), and depth images (e.g., 3D laser scanners, time-of-flight scanners, Microsoft Kinect, etc.).

Lectures

Week 1

• 27/02/2024 - Introduction.
• 27/02/2024 - 3D Taxonomy.
• 28/02/2024 - 3D Meshes.

Week 2

• 05/03/2024 - 3D from Volume Part I.
• 06/03/2024 - Laboratory 1 text and code.

Week 3

• 12/03/2024 - 3D from Volume Part II.
• 13/03/2024 - 3D Slicer I: Introduction.

Week 4

• 19/03/2024 - 3D from Volume Part II: Machine Learning.
• 20/03/2024 - 3D from Volume Part III.
• 20/03/2024 - 3D Slicer II: Advanced Tools.

Week 5

• 26/03/2024 - 3D from Range: Sensors.
• 26/03/2024 - 3D from Range: Optical Active.
• 26/03/2024 - 3D from Range: Surface Cleaning and Smoothing.
• 27/03/2024 - Meshlab Laboratory.

Week 6

• 02/04/2024 - Easter break.
• 03/04/2024 - Easter break.

Week 7

• 09/04/2024 - 3D from Range: Surface Registration.
• 10/04/2024 - Meshlab Laboratory.

Week 8

• 16/04/2024 - 3D from Range: Surface Registration.
• 16/04/2024 - 3D from Range: Surface Reconstruction.
• 17/04/2024 - Meshlab Laboratory.

Week 9

• 23/04/2024 - 3D from Range: Simplification.
• 23/04/2024 - 3D from Range: Visual Appearance and Color.
• 24/04/2024 - Meshlab Laboratory.

Week 10

• 30/04/2024 - 3D from Photo Part II: Acquisition.
• 30/04/2024 - 3D from Photo Part II: Features Extraction.
• 01/05/2024 - Labor Day.

Week 11

• 07/05/2024 - 3D from Photo Part II: Features Extraction.
• 07/05/2024 - 3D from Photo Part II: Features Matching.
• 07/05/2024 - 3D from Photo Part III: Camera Calibration.
• 08/05/2024 - Regard3D.

Past Years Webpages

• 2022/23.
• 2021/22.
• 2020/21.
• 2019/20.
• 2018/19.
• 2017/18.
• 2016/17.

Reference Books

• Digital Image Processing for Medical Applications, a image processing book by Geoff Dougherty.
• Computer Vision: Algorithms and Applications, a computer vision book by Richard Szeliski.
• Polygon Mesh Processing, a 3D mesh processing book by book by Mario Botsch, Leif Kobbelt, Mark Pauly, Pierre Alliez, Bruno Levy.
• MATLAB primer, a gentle introduction to MATLAB.

Other Books

• Image Processing in Radiology, a medical image processing book edited by Emanuele Neri, Davide Caramella, and Carlo Bartolozzi.

Software/Code

• MeshLab, an open source 3D meshes editor.
• Slicer, an open source 3D software for visualization and medical image computing. Link to download 3D Slicer.
• Regard3D, an open source software for 3D reconstruction from photographs.
• COLMAP, an open source software for 3D reconstruction from photographs.
• Metashape, a commercial software (trial link) for 3D reconstruction from photographs.
• VisualSFM, an open source software for 3D reconstruction from photographs. Note a complete package can be downloaded at this webpage.
• Piccante, an open source software C++11 library for imaging.

Several useful tutorials can be found on youtube:

• Lumbar Vertebrae segmentation.
• GrowCut segmentation.
• Generating models for 3D printing.
• Heart Segmentation.

Tutorials

• Mister P.'s Tutorials for MeshLab.
• 3D Slicer's Tutorials.

Datasets

• The Volume Library.
• OpenfMRI.org.
• Utah SCI CT Datasets Archive.
• 3D from Photos Datasets.
• 3D Scanning Pipeline.
• Long Range Scanning.
• Gargoyle Auto-registration Example.
• Color Projection Datasets.