Spring 2022 - CMPT 361 D100

Introduction to Computer Graphics (3)

Class Number: 6066

Delivery Method: In Person

Overview

  • Course Times + Location:

    Mo 2:30 PM – 3:20 PM
    REMOTE LEARNING, Burnaby

    Th 2:30 PM – 4:20 PM
    REMOTE LEARNING, Burnaby

  • Prerequisites:

    CMPT 225 and MATH 232 or 240, all with a minimum grade of C-.

Description

CALENDAR DESCRIPTION:

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.

COURSE DETAILS:

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.

Topics

  • 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 pipelines
  • 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

Grading

  • Four Assignments 40%
  • One Midterm 20%
  • Final Exam 40%

Materials

REQUIRED READING:

Interactive Computer Graphics: A Top-Down Approach with WebGL, E. Angel and D. Shreiner, Addison Wesley, 2014, 7th edition
ISBN: 9780133574845

RECOMMENDED READING:

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
ISBN: 9780321399526

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity web site 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

TEACHING AT SFU IN SPRING 2022

Teaching at SFU in spring 2022 will involve primarily in-person instruction, with safety plans in place.  Some courses will still be offered through remote methods, and if so, this will be clearly identified in the schedule of classes.  You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).

Enrolling in a course acknowledges that you are able to attend in whatever format is required.  You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware 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.

Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112) as early as possible in order to prepare for the spring 2022 term.