PCA-Based Face Recognition Using Eigenface Methodology

Implementation of PCA-based face recognition (Eigenface) involving reading 20 training images, computing mean vectors, covariance matrices, eigenvalues and eigenvectors with timing measurements, displaying Eigenfaces in figure(i). Processing 4 test images with reconstruction in feature space, displaying original vs reconstructed images in figure(i) and figure(10+i) respectively. Calculating reconstruction errors for test images with comparative analysis of differences and underlying causes.