Laboratory in Computer Vision

203.4720

Semester A
Tuesday    16:00-19:00   Room 5015 (Rabin)

Dr. Rita Osadchy

e-mail: rita [at]cs [dot]haifa.ac.il
Office: Jacobs 408
Office Hours: Tuesday 15-16       CHANGED
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Course Description

During this course you are expected to implement and present a graduate level project in Computer Vision. In the beginning of the course I will briefly introduce the projects and the material related to these projects. Then every student (in pairs) will pick a project from the project list or propose his/her own project (subject to my approval). After you decide on the project, each group will submit the project proposal, and will start working on the project. Every two weeks each group will submit a short status update. The updates are mandatory.  At the end of the course each group will be required to submit a project report and give a short presentation. The projects should be implemented in Matlab or C/C++. If you work in C/C++ you are allowed to use vision libraries for input/output and simple image processing. You will be required to show the source code you wrote and explain its structure. 

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Important Dates:

Project Selection 

20 November

Project Proposal

8 December

Project Report

20 February

Project Presentation

20 February

           

 

Project Proposal

Please write 3 paragraphs describing your project. Your proposal should answer the following questions:

 

Project Report

Your project report should address the following:

 

Project Presentation

The order of presentation will be posted in advance. I encourage everyone to attend all of the presentations. Presentations will last about 30 minutes. Your presentation should cover the material in your project report, but in a suitable form for a talk. It should briefly describe the problem and approach, present the results, and then present the analysis of the results.  The presentation should be in ppt or pdf  format.

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List of Projects

Object Categorization/Detection

Specular, Transparent Object Recognition

Illumination Detection

Segmentation

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Class Lectures:

        Object Categorization

        Illumination and recognition of specular objects

        Segmentation

 

Textbook:

http://www.cs.berkeley.edu/~daf/book.html

 

MATLAB resources:

  Introductory Tutorials

MATLAB tutorial from University of Utah

MATLAB tutorial from Carnegie Mellon University

MATLAB tutorial from Indiana University

  Slightly more advanced Tutorials

  More complete references/tutorials/FAQs

 

Open CV library

Very useful computer vision library for C programmers:

http://www.intel.com/technology/computing/opencv/index.htm