CAP5415 – Fall 2013
| Instructor: | Dr. Mubarak Shah |
| Office: | HEC-245 |
| Phone: | 407-823-5077 |
| Location: | ENG1 0383 |
| Class Hours: | Tue & Thur 3:00-4:15PM |
| Office Hours: | Tue 2:00-3:00PM; Thur 4:15-5:15PM and by appointment |
| Email: | shah@eecs.ucf.edu |
| Teaching Assistant: | Waqas Sultani |
| Office: | HEC-249 (Computer Vision Lab) |
| Phone (Vision Lab): | 407-519-0717 |
| Office Hours: | Mon 3:00-4:00PM, Wed 12:00-1:00PM |
| Email: | waqas5163@gmail.com |
Course Goals
The course is introductory level. It will cover the basic topics of computer vision, and introduce some fundamental approaches for computer vision research.
- Image Filtering, Edge Detection, Interest Point Detectors
- Motion and Optical Flow
- Region Segmentation
- Object Detection and Tracking
- Line and Curve Detection
- Shape Analysis
- Stereopsis
- Imaging Geometry, Camera Modeling and Calibration
Grading Policy
- Homework: 10%
- Programming Assignments: 40%
- Mid-Term Exam: 20%
- Final Exam: 30%
Grading
- 90 – 100 = A
- 80 – 89 = B
- 70 – 79 = C
Programming
- Programming will be in MATLAB or you can do in C on your own.
- You are not supposed to use MATLAB code from the web, written by someone else.
- Everything has to be written by yourself except the standard Matlab functions.
- There will be a tutorial on MATLAB in the class.
Prerequisites
A good background in calculus, geometry, linear algebra, programming in MATLAB or C. The University Golden Rules will be observed in this class. Copying or Plagiarism is violation of the Golden Rules.
Reference Text
- Mubarak Shah, “Fundamentals of Computer Vision“.
- Richard Szeliski, “Computer Vision: Algorithms and Application“.
- Emanuele Trucco, Alessandro Verri, “Introductory Techniques for 3-D Computer Vision”, Prentice Hall, 1998.
Lectures
Last year’s lectures are available at Lectures Fall 2012
- Lecture 1 (08/19/2013) – Introduction and Course Overview (2012 video) (2012 YouTube)
- Lecture 2 (08/22/2013) – Filtering (pdf) (2012 video) (2012 YouTube)
- Lecture 3 (08/27/2013) – Edge Detection (pdf) (2012 video) (2012 YouTube)
- Lecture 4 (09/3/2013) – Interest Point Detection, Harris Corner Detector (2012 video) (2012 YouTube)
- Lecture 5 (09/05/2013) – SIFT (pdf) (2012 video) (2012 YouTube)
- Lecture 5.5 (09/17/2013) – Histograms of Oriented Gradients (pdf) (2012 video) (2012 YouTube)
- Lecture 6 (09/19/2013) – Optical Flow (pdf) (2012 video) (2012 YouTube)
- Lecture 7 (09/19/2013) – Pyramids (pdf) (2012 video) (2012 YouTube)
- Lecture 8 (09/26/2013) – Motion Models (pdf) (2012 video) (2012 YouTube)
- Lecture 9 (10/03/2013) – Global Motion (pdf) (2012 video) (2012 YouTube)
- Lecture 10 (10/15/2013) – KLT Tracking (pdf) (2012 video) (2012 YouTube)
- Lecture 12 (10/17/2013) – Camera Model and Calibration (pdf) (video) (YouTube)
- Lecture 13 (11/05/2013) – Fundamental Matrix (pdf) (video) (YouTube)
- Lecture 14 (11/07/2013) – Face Recognition (pdf) (video) (YouTube)
- Lecture 15 (11/12/2013) – Structure from Motion (pdf) (video) (YouTube)
- Lecture 16 (11/14/2013) – Bag of Words (pdf) (video) (YouTube)
- Lecture 17 (11/20/2013) – Hough Transform (pdf) (video) (YouTube)
- Lecture 18 (11/25/2013) – Detection&Tracking (pdf)
- Lecture 19 (11/26/2013) – Final Exam Review (pdf)
Assignments
- Homework Assignment 1 (due at the beginning of class on 10/01/2013) (pdf)
- Programming Assignment 1 (due 10/15/2013) (rar)
- Programming Assignment 2 (due 10/15/2013) (pdf)
- Homework Assignment 2 (due 10/17/2013) (pdf)
- Programming Assignment 3 (due 11/21/2013) (pdf)
Leading Journals and Conferences in Computer Vision