CAP5415 – Fall 2014
| Instructor: | Dr. Mubarak Shah |
| Office: | HEC-245 |
| Phone: | 407-823-5077 |
| Location: | ENG1 0286 |
| Class Hours: | Tue & Thur 3:00-4:15PM |
| Office Hours: | Tue 2:00-3:00PM, Thur 4:30-5:30PM and by appointment |
| Email: | shah@crcv.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 2013
- Lecture 1 (08/19/2014) – Introduction and Course Overview (pdf) (2012 YouTube)
- Lecture 2 (08/21/2014) – Filtering (pdf) (YouTube)
- Lecture 3 (08/26/2014) – Edge Detection (pdf) (YouTube)
- Lecture 4 (08/28/2014) – Interest Point Detection, Harris Corner Detector (pdf) (YouTube)
- Lecture 5 (09/04/2014) – Pyramids (pdf) (YouTube)
- Lecture 6 (09/16/2014) – SIFT (pdf) (YouTube)
- Lecture 7 (09/23/2014) – Optical Flow (pdf) (YouTube)
- Lecture 8 (09/25/2014) – Motion Models (pdf) (YouTube)
- Lecture 9 – Global Motion (pdf) (YouTube)
- Lecture 10 – KLT Tracking (pdf) (YouTube)
- Lecture 11 – SVM (pdf) (YouTube)
- Lecture 12 – Camera Model and Calibration (pdf) (YouTube)
- Lecture 13 – Fundamental Matrix (pdf) (YouTube)
- Lecture 14 – Face Recognition (pdf) (YouTube)
- Lecture 15 – Structure from Motion (pdf) (YouTube)
- Lecture 16 – Bag of Words (pdf) (YouTube)
- Lecture 17 – Hough Transform (pdf) (YouTube)
- Lecture 18 – Deformable Part Model (DPM) (pdf) (YouTube)
- Lecture 19 – Final Exam Review
Assignments
- Programming Assignment 1 (Due 10 September 2014) (PA1.rar)
- Programming Assignment 2(Due 25 September 2014) (PA2.rar)
- Programming Assignment 3(pdf)
- Programming Assignment 4(pdf)
- Homework Assignment 1(due at the beginning of class on 09/30/2014) (pdf)
Leading Journals and Conferences in Computer Vision