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Computer Vision Course - Fall Semester 2014

Course Project

Guidelines

The Course Project is a major component of the Computer Vision Course. It will be done during the whole semester. The Course Project is on Face Recognition and it involves groups of two students. Each project group will meet 4 times with the course instructor in the Practical Sessions during the semester.

In the Course Project each group has to develop a LFRS (Live Face Recognition System) that is able to detect and recognize the faces of the students of our course using a webcam (see an example). In each class day, a face image of each student will be acquired. The database containing all face images taken during the semester will be shared among the students. At the end of the semester, the developed LFSR should recognize the identity of the person as soon as the person sits in front of the webcam. It will be a competition!

The four meetings will be:

+ Practical Session 1 (Webcam and Live Detection): Friday, September 19th, 2014 at 10:30 (DeBartolo Hall 118). Each group should bring to the classroom a laptop with Matlab and webcam. The corresponding adaptor for the webcam should be correctly installed (see video for help). In this session we will develop a simple Intrusion Detection System (IDS).

+ Practical Session 2 (Face Detection): Monday, October 13th, 2014 at 10:30 (DeBartolo Hall 118). Each group should bring to the classroom a laptop with Matlab and webcam. In this session we will develop a live face detection system using Computer Vision Toolbox of Matlab (see example for help).

+ Practical Session 3 (Face Recognition): Friday, November 7th, 2014 at 10:30 (DeBartolo Hall 118). Each group should bring to the classroom a laptop with Matlab. In this session we will develop a simple face recognition algorithm based on LBP with the collected data (see example for help).

+ Practical Session 4 (Project Progress): Friday, November 21th, 2014 at 10:30 (DeBartolo Hall 118). Each group should bring to the classroom a laptop with Matlab and webcam. In this session each group will show the achieved progress.

 

[ HONOR CODE ] You may consult any books, papers, webpages, etc. for ideas and available codes (e.g. Balu, VLfeat, etc) that you may want to incorporate into your implementation, so long as you clearly cite your sources. However, under no circumstances may you look or use code of another group of the course. In addition, the face images used in this project will be not used for other proposes and will be deleted at the end of the course. See Honor Code of the University of Notre Dame.