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CS485/685 Computer Vision Spring 2010 – Dr. George Bebis Programming Assignment 4

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Abstract

In this project, you will implement the eigenface approach and perform several experiments to evaluate its performance and the effect of several factors on recognition performance. 1. Eigenface implementation Read carefully and understand the steps of the eigenface approach. Use cvEigenVV for computing the eigenvalues/eigenvectors of a symmetric matrix. Your program should run in two modes: (i) training and (ii) testing. In training mode, your program will read in the training face images and compute the average face and eigenfaces. Then, it will decide how many eigenfaces to keep (i.e., this could be done in an interactive mode where the user determines the percentage of the information to be preserved). It will then project each training face image onto the eigenspace and compute its representation in that space (i.e., the coefficients of projection Ωk, k=1,2,..,M, where M is the number of training face images). Finally, your program will store into a file the coefficients Ωk, the average face, and the eigenfaces. In testing mode, your program will read in the coefficients Ωk, the average face, and the eigenfaces. Then, it will use the images in a test set (see below) t

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.188.3239
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