Face Recognition Algorithm using Eigenfaces
Objective:
Understanding the Face Recognition Method using Eigenfaces approach
Lecture for Module CSE 3093Y Computer Vision, Biometrics and Pattern Recognition
Face recognition is an important tool in many applications.
Eigenfaces method consists of extracting the characteristic features of the face and representing the face image as a linear combination of the so called ‘eigenfaces’ obtained from the feature extraction process.
We represent every image in our training as some linear combination of weights of eigenfaces which is basis for entire training dataset.
For recognizing we calculate the weights of test image and compare it with weights of all the images in training dataset and recognizes the image with least error between weights of test and training set.
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