Gallery

Woah! Finally Perceptron has ended

For last 3 months,  me and my two other friends  worked hard for this event. We needed to provide our juniors a platform from where they can learn. The gluttony of the events held presently in Prastuti always made me sad. To get over all these things, we brought Perceptron.

Perceptron is a event based on Computer Vision. The aim of this event is to develop a Face detection framework from a scratch in matlab . We used the paper of Viola and Jones for reference. It took us 4  workshops to present the overview of the system to a audience who had no previous knowledge about machine learning or image processing!! Personally I think, we may went just too harsh on them. Nevertheless, there were 24 students who sticked till the final day of the event.

 

The whole procedure looked something like this:

  1. workshop 1 ( 4-Jan-2014 ):
  • Formation of Integral Images.
  • Introduction to convolution and Haar features.
  • Basic needs of a face detection framework as a whole.

2.  workshop 2 ( 17-Jan-2014 ):

  • What is machine learning?
  • Supervised vs Unsupervised learning
  • Classification vs Regression.
  • Introduction to Perceptron Learning algorithm.
  • Challenge 1  released.

3.  workshop 3 (15-Feb-2014 ):

  • Code PLA in Matlab step by step.
  • Disadvantages of PLA and its ineffectiveness against non-linear separable data.
  • Modifications in PLA to make it more flexible.
  • A revision of Face detection framework.
  • Challenge 2 released.

4. workshop 4 (29-March-2014):

  • Framework revision.
  • Introduction to Adaboost.
  • Challenge 3 released
  • quizz

Stills from the workshops 🙂

workshop 4 stills
workshop 4 stills

 

Here me and my teammate showing how to calculate error in the adaboost algorithm used in Viola Jones framework.

here me and my teammate showing how to calculate error in the adaboost algorithm used in Viola Jones framework
here me and my teammate showing how to calculate error in the adaboost algorithm used in Viola Jones framework

 

Me and my team in action.

Me and my team in action