Simon Fraser University
Engaging the World

Course Outlines

Spring 2020 - CMPT 414 D100

Model-Based Computer Vision (3)

Class Number: 6740

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 6 – Apr 9, 2020: Tue, 1:30–2:20 p.m.
    Burnaby

    Jan 6 – Apr 9, 2020: Thu, 12:30–2:20 p.m.
    Burnaby

  • Exam Times + Location:

    Apr 15, 2020
    Wed, 8:30–11:30 a.m.
    Burnaby

  • Instructor:

    Ze-Nian Li
    li@sfu.ca
    1 778 782-3761

  • Prerequisites:

    MATH 152 and nine units in CMPT upper division courses, or permission of the instructor.

Description

CALENDAR DESCRIPTION:

This course covers various topics in computer vision with the emphasis on the model-based approach. Main subjects include 2-D and 3-D representations, matching, constraint relaxation, model-based vision systems. State-of-the-art robot vision systems will be used extensively as study cases. The solid modelling and CAD aspects of this course should also interest students of computer graphics.

COURSE DETAILS:

This course covers various topics in computer vision with the emphasis on the model-based approach. Main subjects include image processing techniques, Hough transforms, 2-D and 3-D modeling and matching, neural networks for computer vision, and stereo vision.

Topics

  • Low-level Image Processing
  • Hough Transforms
  • 2D and 3D Representations - Modeling
  • Matching Using Local Invariants (SIFT, etc.)
  • Neural Networks for Computer Vision
  • Stereo Correspondence Algorithms

Grading

NOTES:

Programming assignments: 20%, midterm exam: 20%, final project: 25%, final exam: 35%

Materials

MATERIALS + SUPPLIES:

Reference Books

  • Computer Vision, L.G. Shapiro and G.C. Stockman, Prentice Hall , 2001, 9780130307965
  • Computer Vision, D.H. Ballard and C.M. Brown, Prentice Hall, 1982, 9780131653160

RECOMMENDED READING:

  • Computer Vision: Algorithms and Applications,
  • R. Szeliski,
  • Springer,
  • 2010
  • Pre-publication versions on line: http://szeliski.org/Book/

ISBN: 9781848829343

  • Computer Vision: A Modern Approach,
  • 2nd Edition,
  • D.A. Forsyth and J. Ponce,
  • PrenticeHall
  • 2012

ISBN: 9780136085928

Registrar Notes:

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

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS