Course Information:

Course Ref. No.: 28921

Term: Winter 2023

Time: Tue & Thu 4:00 PM - 5:15 PM

Location: Alex Manoogian 0256

Instructor Contact Information:

Name: Zichun Zhong

Phone Number: 313-577-9530

Office Location: 5057 Woodward Ave, Suite 14109.2, Detroit, Michigan, 48202

Office Hours: Tue & Thu 2:30 PM - 3:30 PM (by appointment)

Email Address: zichunzhong@wayne.edu

TA: TBD

Course Description and Goals:

The main focus of the course is to introduce theoretic and computational background of modeling in 3D computer graphics, geometric processing, and visualization, specifically, how to represent, model, and analyze 3D models and scenes. For instance, "how can we build a high-quality model from acquired large-scale 3D dataset in a complex scenario (i.e., scanned data, medical images, unorganized sets of polygons, voxels, etc.)?" and "how can we use the 3D model for reconstruction, simulation, and animation?" The goal of this course is after learning basic computer graphics programming, knowledge, and geometry concepts, students will get to the latest and most popular 3D data representation schemes and techniques; and know how to effectively use them in different graphics, computer-aided design, simulation, or animation applications. The following topics will be covered:

Basics in Computer Graphics and Geometric Modeling
Introduction to OpenGL Programming
Representation of 3D Shapes
3D Reconstruction Issues
3D Surface Mesh Generation
3D Volume Mesh Generation
Reconstruction of 3D Volume Image from 2D Projections
Reconstruction of 3D Mesh from Point Clouds
Reconstruction of 3D Meshes from Images, such as CT/MRI Medical Images
Simplification of 3D Meshes
Subdivision Surfaces
Deep Learning in 3D Geometry

Required Textbook:

Mario Botsch, Leif Kobbelt, Mark Pauly, Pierre Alliez, Bruno Lévy, Polygon Mesh Processing, CRC Press, 2010, ISBN: 9781568814261. The book source code, data, and slides are included.

Some course topics and materials are selected from top journals and conferences in computer graphics and visualization fields, such as ACM TOG, IEEE TVCG, CAD, CAGD, SIGGRAPH, IEEE Visualization, SGP, SPM, GMP, MICCAI, CVPR, ICCV, ECCV, etc.

Recommended Reference Book:

Jing Hua, Jiaxi Hu, Zichun Zhong, Spectral Geometry of Shapes: Principles and Applications, Academic Press, Elsevier, 2019, ISBN: 9780128138427.

Useful Links:

Useful Graphics Books:

OpenGL Programming Guide: The Official Guide to Learning OpenGL, Versions 4.3 (8th Edition), Addison Wesley, 2013. ISBN-13: 978-0321773036. A free online version: http://www.glprogramming.com/red/

Interactive Computer Graphics: A Top-Down Approach with WebGL (7th Edition), Pearson, ISBN-13: 978-0133574845.

OpenGL Programming Guide and Environments:

Running OpenGL/GLUT with Visual Studio 2005/2008/2010

System Instructions for GLUT

User Interface Packages: GLUI, FLTK

Useful Graphics Publication Resources:

Useful Graphics Tutorial& Guide Resources:

Great Computer Graphics& Vision Courses:

Lecture Notes: (All slides and reference materials are posted on Canvas at WSU)

Syllabus (Check it on Canvas)

Blue color is done

Date	Subject
01/10/2023	Introduction to 3D Graphical and Geometric Modeling and Applications
01/12/2023	Introduction to 3D Graphical and Geometric Modeling and Applications
01/17/2023	Introduction to Computer Graphics and OpenGL / Representation of 3D Shapes
01/19/2023	Mesh Data Structure
01/24/2023	3D Surface Mesh Generation
01/26/2023	3D Surface Mesh Generation
01/31/2023	3D Surface Mesh Generation
02/02/2023	3D Surface Mesh Generation
02/07/2023	3D Volume Mesh Generation
02/09/2023	Proposal Discussion
02/14/2023	3D Volume Mesh Generation
02/16/2023	Reconstruction of 3D Volume Images from 2D Projections
02/21/2023	Reconstruction of 3D Volume Images from 2D Projections
02/23/2023	Reconstruction of 3D Meshes from Point Clouds
02/28/2023	Reconstruction of 3D Meshes from Point Clouds
03/02/2023	Reconstruction of 3D Meshes from 2D/3D Images
03/07/2023	Reconstruction of 3D Meshes from 2D/3D Images
03/09/2023	Mid-Term Presentation
03/14/2023	Spring Break - No Class
03/16/2023	Spring Break - No Class
03/21/2023	Simplification of 3D Meshes
03/23/2023	Simplification of 3D Meshes
03/28/2023	Simplification of 3D Meshes
03/30/2023	Subdivision Surfaces
04/04/2023	Subdivision Surfaces
04/06/2023	3D Deep Learning on Shapes
04/11/2023	3D Deep Learning on Shapes
04/13/2023	3D Deep Learning on Shapes
04/18/2023	Office Hours
04/20/2023	Final Presentation and Demo

Grading:

(1) Proposal: 10% (Due date: 02/09/2023)

- Study a set of relevant papers (3-5 papers)

- Give a class presentation and submit your own 1-2 page course project proposal (for a specific topic/algorithm/method taught by this course)

(2) Mid-term report and presentation: 10% (Due date: 03/09/2023)

- Submit your 1-2 page mid-term report and implement basic functionalities of your proposed project before the mid-term check point

- Give a class presentation

(3) Final presentation and demo: 20% (Due date: 04/20/2023)

- Give a class presentation and final project demonstration

(4) Project submission: 60% (Due date: 04/20/2023)

- Submit your project code and 1-2 page final project report

Prerequisites: This is a graduate-level course. But undergraduate students would still be able to take this course. Some basic background in linear algebra and programming (CSC 2000 or equivalent) is assumed. Knowledge about computer graphics (CSC 5870) and geometry will be helpful.

Course & Instructor Policies:

(1) Copying source code from another student in this class or obtaining a solution from some other source will lead to an automatic failure for this course and to a disciplinary action. In this case, you may be given a score of 0 for the assignment or project in question (and the other party will get a failure).

(2) No late submission for assignment will be accepted.

(3) Grades will be posted on the Canvas.

(4) If there is any special case, please inform the instructor in advance.