Simon Fraser University
Engaging the World

Course Outlines

Spring 2020 - CMPT 762 G100

Computer Vision (3)

Class Number: 8938

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 6 – Apr 9, 2020: Tue, 9:30–10:20 a.m.
    Burnaby

    Jan 6 – Apr 9, 2020: Thu, 9:30–11:20 a.m.
    Burnaby

Description

CALENDAR DESCRIPTION:

Selected topics in computer vision including cameras, edge detection, feature matching, optical flow, alignment, epipolar geometry, stereo, structure-from-motion, recognition, segmentation, detection, and deep learning.

COURSE DETAILS:

Computer vision is the process of automatically extracting information from images and video. This course covers imaging geometry (camera calibration, stereo, and panoramic image stitching), and algorithms for video surveillance (motion detection and tracking), segmentation and object recognition.

Grading

NOTES:

The grading will be based on 6 coding assignments (16% each). The last 2 coding assignments can be replaced by a final project if one chooses to.

Materials

MATERIALS + SUPPLIES:

  • Computer Vision: Algorithms and Applications, Richard Szeliski, http://szeliski.org/Book/

RECOMMENDED READING:

  • Computer Vision: Algorithms and Applications, Richard Szeliski, http://szeliski.org/Book/

Graduate Studies Notes:

Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.

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