Seasons Of Code

Face Recognition using Statistics    • Shreya Pathak, Mohammad Ali Rehan   

WnCC - Seasons of Code

Seasons of Code is a programme launched by WnCC along the lines of the Google Summer of Code. It provides one with an opprtunity to learn and participate in a variety of interesting projects under the mentorship of the very best in our institute.

List of Running Projects

Face Recognition using Statistics

Face Recognition using Statistics

This project aims at introducing the student to the use of statistics in machine learning. We will present several tools such as Principle Component Analysis giving them a theoretical and practical understanding of the same. After completing the basics we will apply the learned concepts and build a simple face recognition system and implement some parts of a paper on the same.

There are no hard prerequisites. We will start from the very basic. All that is required is an interest in statistics and ML and enthusiasm to work. The reading material and other resources on ML and statistics will be provided as the project advances though an interested student can look at books and online resources.

Tentative Project Timeline

Week Number Tasks to be Completed
Week 1-2 Learning about PCA from online course provided by us and get a basic understanding of coding in MATLAB
Week 3-4 Solve the problem set to strengthen the concepts and implement a basic version of PCA in MATLAB
Week 5-6 Read and understand the parts of the paper given to them
Week 7-8 Implement the paper and optimise if time permits.