CAP 5415: Computer Vision - Fall 2010

Office Hours

Course Syllabus

Recommended Texts

• Computer Vision: Algorithms and Applications by Richard Szeliski. This book is still in development. The homepage of the book is at http://research.microsoft.com/en-us/um/people/szeliski/Book/

Resources

• Harris Lab - MATLAB Access - Info
• Mubarak Shah, "Fundamentals of Computer Vision" (This book is only available online and provides a useful resource to most of the problems that will be covered in the class. )
• Berkeley Segmentation Database

Numerical Python Resources

• A short tutorial that I am working on [PDF]
• The SciPy website
• The MatPlotLib website
• You can download a complete, prepackage distribution from Enthought

  Problem Sets

  • Problem Set 1 - Images for this PS.
  • Problem Set 2 - MATLAB Files for PS 2, Python Files for PS 2
  • Midterm - Image files, Completed Code for PS2
  • Problem Set 3 - Image files
  • Problem Set 4 - Image files
  • Final Exam

  Course Calendar:

  Lecture	Date	Description	Materials
  1	8/25	Course Introduction Image Filtering	Lecture 1
  2	8/26	More on Convolution, Fourier Transforms	Lecture 2
  3	8/31	More on Fourier Transform	Lecture 3
  4	8/31	Image Pyramids and Multi-Scale	Coming Soon
  5	9/7	Image Features and Eigenvectors	Lecture 5, Lecture 5 Part 2
  6	9/9	Linear Classification and Logistic Regression	Lecture 6
  7	9/14
  8	9/16
  9	9/21	More on Line fitting	Lecture 9
  10	9/23	Clustering and Segmentation	Lecture 10
  11	9/28	Mean Shift, Normalized Cuts	Lecture 11
  12	9/30	Cameras	Lecture 12
  13	10/5	Transformations, View Morphing	Lecture 12
  14	10/12	Fundamental Matrix, Stereo	Lecture 14
  15	10/14	Graph Cuts
  16	10/19	Optical Flow
  16	10/19	Intro to Recognition

  Other Lectures

  • Lecture 17
  • Lecture 18
  • Lecture 21
  • Lecture 22
  • Lecture 23