Fall 2020 - CMPT 361 D100
Introduction to Computer Graphics (3)
Class Number: 6610
Delivery Method: In Person
This course provides an introduction to the fundamentals of computer graphics. Topics include graphics display and interaction hardware, basic algorithms for 2D primitives, anti-aliasing, 2D and 3D geometrical transformations, 3D projections/viewing, Polygonal and hierarchical models, hidden-surface removal, basic rendering techniques (color, shading, raytracing, radiosity), and interaction techniques.
Introduction to Computer Graphics (and Vision) Classical computer graphics has had a focus on realistic image synthesis, when given an explicitly defined 3D scene. In its modern era, graphics research has extended its reach to cover the synthesis and generation of all visual content, beyond scene projection and rendering. Hence, there is often a need to first acquire an understanding of the visual information being processed and created, which is an analysis task studied in computer vision. Indeed, modern computer graphics has seen "an increasing integration of techniques from computer vision" (from page 2 of "Computer Graphics, Principles and Practice, Third Edition, by Hughes, et al.). In this course, which will be co-taught by two instructors, we will offer an introduction to fundamental concepts and techniques in both computer graphics and computer vision, with more emphasis placed on material that is deemed central to both fields. With a focus on classical topics, we will also shed light on the most recent trend and developments in the fields and the interplay between them. Students completing this course will be well prepared for more advanced courses in both computer graphics and computer vision. Programming assignments will be conducted in WebGL for the graphics-related problems and MATLAB for vision-related ones.
- digital images and sensors (imaging basics and camera models)
- geometrical transformations, projections, and viewing
- image segmentation and filtering
- image transforms, sampling, and reconstruction
- epipolar geometry
- optical flow
- introduction to convolutional neural networks
- the graphics pipeline and programmable pipeline
- introduction to programming using OpenGL and shading language
- hidden-surface removal and visibility
- basic rendering techniques (illumination and shading, global illumination, ray tracing, texture mapp
- curves and surfaces; polygonal models
- Four assignments (40%), two midterms (30%), and a final exam (30%). Students must attain an overall passing grade on the weighted average of exams in the course in order to obtain a clear pass (C- or better).
Interactive Computer Graphics: A Top-Down Approach with WebGL, E. Angel and D. Shreiner, Addison Wesley, 2014,, 7th edition
Computer Graphics: Principles and Practice, J. Hughes, A. van Dam, M. McGuire, D. F. Sklar, J. D. Foley, S. K. Feiner, and K. Akeley, Addison Wesley, 2013, , 3rd edition
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TEACHING AT SFU IN FALL 2020
Teaching at SFU in fall 2020 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (email@example.com or 778-782-3112).