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 16:00 to 19:00; Etr. F1 -- MS Teams
  • Wednesday: from 11:30 to 13:30; SI1 -- MS Teams

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.).

Exams

• 06/06/2022 - Text and results.
• 27/06/2022 - Text and results.
• 18/07/2022 - Text and results.
• 12/09/2022 - Text and results.
• 19/11/2022 - Text and results.
• 11/01/2023 - Text and results.
• 30/01/2023 - Text and results.
• 13/02/2023 - Text and results.

Lectures

Week 1

• 01/03/2022 - Introduction.
• 01/03/2022 - 3D Taxonomy.
• 02/03/2022 - 3D Meshes.

Week 2

• 08/03/2022 - 3D from Volume Part I.
• 08/03/2022 - 3D from Volume Part II.
• 09/03/2022 - Laboratory 1 text and code. Result code.

Week 3

• 15/03/2022 - 3D from Volume Part II.
• 15/03/2022 - 3D from Volume Part III.
• 16/03/2022 - Laboratory 2 text: Volume Segmentation using 3D Slicer.

Week 4

• 29/03/2022 - 3D from Range: Sensors.
• 29/03/2022 - 3D from Range: Optical Active.
• 29/03/2022 - 3D from Range: Surface Cleaning and Smoothing.
• 30/03/2022 - Meshlab Laboratory.

Week 5

• 05/04/2022 - 3D from Range: Surface Registration.
• 05/04/2022 - 3D from Range: Surface Reconstruction.
• 06/04/2022 - Meshlab Laboratory.

Week 6

• 12/04/2022 - 3D from Range: Simplification.
• 13/04/2022 - Meshlab Laboratory.

Week 7

• 19/04/2022 - Easter break.
• 20/04/2022 - Easter break.

Week 8

• 26/04/2022 - Machine Learning in 3D from Volume.
• 26/04/2022 - 3D from Photos Part I: Introduction.
• 27/04/2022 - 3D Slicer and Regard3D laboratory.

Week 9

• 03/05/2022 - 3D from Photos Part II: Automatic Matching of Images.
• 04/05/2022 - Laboratory.

Week 10

• 10/05/2022 - 3D from Photos Part II: Automatic Matching of Images.
• 10/05/2022 - 3D from Photos Part III: Camera Calibration.
• 11/05/2022 - Laboratory.

Week 11

• 17/05/2022 - 3D from Photos Part IV: Structure-from-Motion.
• 18/05/2022 - Laboratory.

Week 12

• 24/05/2022 - 3D from Photos Part V: Stereo and Multi-view.
• 18/05/2022 - Laboratory.

Past Years Webpages

• 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.
• Campo.