Lectures
| Date | Lecture Description | Readings | Homework / Assignments | Materials / Announcements |
| Jan 2008 | Computer Vision History | Lecture note 1 | ||
| Jan 2008 | Measurement of Motion:
|
Lecture note 2 | Form groups for course project. | |
| 17 Jan 2008 | Displacement Models
|
Lecture note 3 | Homework 1 | OpenCV
Instructions OpenCV Examples Fundamental Matrix Example |
| 21 Jan 2008 |
Computing Optical Flow
|
Lecture note 4 | ||
| 23 Jan 2008 |
Pyramids
|
Lecture note 5 | Lucas Kanade code in MATLAB | |
| 28 Jan 2008 |
Global Flow
|
Lecture note 6 | Homework 2 (due 4 Feb) | |
| 30 Jan 2008 |
Video Mosiac | Lecture note 7 | ||
| 4 Feb 2008 |
Feature-based Registration | Lecture note 8 | 1- Homework 3 (due 11 Feb) 2- Program Assignment (due 18 Feb) 3- Wide Baseline Matching Lecture |
Associated Files: seq1 seq2 seq3 head Imgs |
| 6 Feb 2008 | Target Tracking Using Mean Shift | Lecture note 9 | ||
| 11 Feb 2008 |
Change Detection Skin Detection |
Lecture note 10 | ||
| 13 Feb 2008 |
Structure from Motion | Lecture
note 11 Lecture note 100 |
Programming assignment 1 Presentations (18 Feb) | |
| 18 Feb 2008 |
Model-base Video Compression | Lecture note 12 | ||
| 20 Feb 2008 |
Recognizing Facial Expressions | Lecture note 13 | ||
| 24 Feb 2008 |
Kalman Filter | Lecture note 14 | Homework 4 (due 24 Mar) | |
| 26 Feb 2008 |
Hand Gesture Recognition | Lecture note 15 | ||
| 1 Mar 2008 |
Lecture note 16 | |||
| 3 Mar 2008 |
Action Recognition | Lecture note 17 | ||
| 17Mar 2008 |
Multi View Geometry of Moving Cameras | Lecture note 20 | Mid Term Exam: Wednesday April 16 | |
| 24 Mar 2008 |
Classification of Video Shots Using 3D Camera Motion | Lecture note 30 |
-March 31: Questions/answers Lecture 2-10…. (point out the errors/typos in the slides) -April 2: Questions/answers Lecture 11---14 (Kalman filter ) and Lecture 100 (point out the errors/typos in the slides) |
Syllabus
Displacement Models
Computing Optical Flow
Pyramids
Global Flow
Video Mosiac
Feature-based Registration
Target Tracking Using Mean Shift
Change Detection
Skin Detection
Structure from Motion
Model-base Video Compression
Recognizing Facial Expressions
Kalman Filter
Hand Gesture Recognition
Action Recognition
Grading Policy
- Homeworks 15%
- Midterm exam 15% (Wednesday April 16)
- Project 70%
Homeworks and Assignments
- Show (1), (2) and (3) in lecture note 3.
- Experiment with five different openCV routines
- Experiement with five different openCV routines on video.
- Show proof for Bi-linear interpolation in slide 48 of lecture note 5.
- Show (a), linear system equation in Anandan’s method, in slides 8 and 9 of lecture note 6.
- (b) Derive equations for Mann’s method (weighted) Lecture 7, page 5 top slide.
- (c) Derive equations for Mann’s method (un-weighted) Lecture 7, page 10 top slide.
- (a) Drive Optical flow equation in page 81 of lecture note 12 (21 of handouts).
- (b) Drive equation of Planar Patch in page 85 of lecture note 12 (22 of handouts).
- (c) Drive equation of error function in page 81 of lecture note 12 (21 of handouts).
- Group (a)
Implement Anandan’s algorithm using affine transformation. To show the results generate a mosaic. - Group (b)
Implement Szeliski’s algorithm using projective transformation. To show the results generate a mosaic. - Group (c)
Implement Mann’s algorithm using projective transformation. To show the results generate a mosaic.
Implement all four steps: - Pyramid construction
- Motion estimation
- Image warping
- Coarse-to-fine refinement
Porjects 
Some notes about project:
-Since it is 70% of your grade, it will require significant amount of effort. It will require at least three times the effort you put in on the program..
-Project can deal with the real world system, which can demonstrate some new and interesting application of computer vision.. (Applications project)
-Project can be on completely new idea, which can ultimately become a research paper, but the paper is not expected for the class. (research project)
-Project should not be just implementation of some paper..
-Project should demonstrate understanding of concepts which you have learnt in the class, or other concepts which you have not learnt, but need to learn in order to finish the project.
-Please seek help from me for the project…
-Initial ideas are always important, but preliminary, they need to be refined… I can help you to refine these, you need to be willing to put in efforts…
Week of March 24
March 26 No class; Attend Talk by Professor Zhu at 4:00 PM, Harris 101
Week of April 7 (15% of your grade)
April 7 Demo/Report for Term Project (four students: Bilal, Ramin, Kagin, Yan)
April 9 Demo/Report for Term Project (four students; Yusuf, Enrique, Suraj, Abassel)Week of April 14
April 14 Exam (15% of your grade)
April 16 Lecture on Facial expression Recognition
Week of April 21 (15% of your grade)
April 21 Demo/Report for Term Project (four students: Bilal, Ramin, Kagin, Yan)
April 23 Demo/Report for Term Project (four students; Yusuf, Enrique, Suraj, Abassel)
Final exam April 28?
Demos of your projects: Open to public ..