CEG-725 Computer Vision II

 

Term: Winter 2012     CRN: 63293        Lecture: 2:45 - 4:00 PM, M, W          Room: 302 Russ
Instructor: A. Goshtasby                         Office: 495 Joshi                          Phone: 937-775-5170
 Email: agoshtas at wright dot edu              Office Hours: 12:00 - 2:00PM, M, W,   or by appointment.


No. Units: 4

Prerequisites: CEG-724

Textbook:

Multi View Geometry in Computer Vision, Second Edition
Hartley & Zisserman
Cambridge University Press, 2003

Additional Reading: To be handed out in class.

Purpose of Course:

This course is a continuation of CEG-724 Computer Vision I. The primary focus will be on vision processes for 3-D scene recovery.

Contents:

  1. Projective geometry and 2-D transformations (ch2)
  2. Projective geometry and 3-D transformations (ch3)
  3. Estimating 2-D transformation parameters (ch4)
  4. Epipolar geometry and the fundamental matrix (ch9)
  5. 3-D reconstruction from two views (ch10)
  6. Stereo camera calibration (ch11)
  7. Motion estimation (handout)
  8. Shape from shading (handout)
  9. Shape from texture (handout)
  10. Shape from line drawing (handout)

Learning Goals:

In this course we will learn mid-level computer vision algorithms that interpret images. Some of the algorithms will be practiced through computer implementation.

Projects and Exams:

There will be three projects, three quizzes and a presentation. A typical programming assignment will require about 20 hours of study and programming. Each student will be assigned a paper to read and present during the last week of classes.

Grading Policy:

Projects will worth 45%, quizzes will worth 45%, and presentation will worth 10% of the overall grade. Grades will be assigned as follows. A: [91..100], B: [81..90], C: [71..80], D: [61..70], F: [0..60].

Calendar:

Project 1

Handed out: 1/18   Due: 2/1

Project 2

Handed out:2/6      Due: 2/15

Project 3

Handed out: 2/20   Due: 3/7

Quizzes

On:   1/23, 2/13, 2/29

Presentation

During last week of classes