Fall 2024 - CMPT 464 D100
Geometric Modelling in Computer Graphics (3)
Class Number: 6300
Delivery Method: In Person
Overview
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Course Times + Location:
Sep 4 – Dec 3, 2024: Wed, 11:30 a.m.–12:20 p.m.
BurnabySep 4 – Dec 3, 2024: Fri, 10:30 a.m.–12:20 p.m.
Burnaby
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Instructor:
Richard Zhang
haoz@sfu.ca
1 778 782-6843
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Prerequisites:
CMPT 361, MACM 316, both with a minimum grade of C-.
Description
CALENDAR DESCRIPTION:
Covers advanced topics in geometric modelling and processing for computer graphics, such as Bezier and B-spline techniques, subdivision curves and surfaces, solid modelling, implicit representation, surface reconstruction, multi-resolution modelling, digital geometry processing (e.g. mesh smoothing, compression, and parameterization), point-based representation, and procedural modelling. Students with credit for CMPT 469 between 2003 and 2007 or equivalent may not take this course for further credit.
COURSE DETAILS:
This course covers recent and advanced modeling techniques in computer graphics. Our focus will be on the acquisition, representation, processing, analysis, and synthesis of 3D shapes, with applications to real-time 3D graphics, generative AI, design and manufacturing, as well as 3D machine vision and robotics. We will cover a variety of 3D representations including polygonal meshes, point clouds, voxels, implicit functions, as well as structured representations. Both classical and modern-day learning-based approaches will be studied. This field is still fast evolving with many interesting problems and much aspiration for application development and future research, e.g., in geometric deep learning, computational design, and creative modeling. Basic mathematical concepts and tools necessary to understand the course will be presented depending on students background. Programming experience in computer graphics (CMPT 363 or equivalent) and machine learning (Python, C++) would be required. This course will be cross-listed with CMPT 764.
COURSE-LEVEL EDUCATIONAL GOALS:
Topics
- The new computer graphics in the age of AI and Big Data
- Machine learning in shape analysis and geometric modelling
- 3D shape representations: tensor-product surfaces, implicit functions, meshes (subdivision surfaces), point clouds, voxels, structured representations, and their "neuralization"
- 3D shape acquisition and surface reconstruction
- Segmentation and correspondence for 3D vision
- 3D content creation and creative modeling
- 3D printing
Grading
NOTES:
One midterms (30%), two assignments (20%), and a final project (50%)
Materials
MATERIALS + SUPPLIES:
Reference Books
- A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing, Cohen-Or et al., 2015
Other reading materials
- Survey and research papers to be added throughout the course
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity website http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the university community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the university. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the university. http://www.sfu.ca/policies/gazette/student/s10-01.html
RELIGIOUS ACCOMMODATION
Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.