Seasons Of Code

Face Recognition Systems    • Naman Jain    • Syamantak Kumar   

Face Recognition Systems

Face Recognition Systems


The project lies at the crossroad of computer vision and machine learning trying approaches to solve problem of facial recognition (and maybe detection).

We will use various classification algorithms like nearest neighbours ,support vector machines, feed forward neural networks which would run over dimensionality reduction algorithms like Principal Component Analysis and Linear Discriminant Analysis.

After their completion we would like to try one of the following ideas:

1) Use AdaBoost to implement a simple Viola Jones face detection.

2) Work on specialized deep learning techniques like Siamese Networks for dimensionality reduction or simple convolutional neural networks for the classification task.

Reading material and side study would include introductory machine learning as well as basic statistics from books or online lectures.

Apart from them we would also recommend reading some breakthrough papers. For example look at Turk’s Paper on using Eigenfaces or the paper on FisherFaces.

A student is expected to have interest in Machine Learning and ready to pick up new things on the go. Apart from this a strong hold over Linear Algebra would be helpful!