FULL PORTFOLIO
October 2018

Facial Recognition

As part of a Pattern Recognition university module, a peer and I investigated several approaches to the problem of facial recognition. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) were used for dimensionality reduction, and methods such as Nearest Neighbour (NN) were used for classification. Our final model utilised ensemble learning and bagging. We described our research on the methods to maximise recognition accuracy in a report.