Lateral Inhibition: optical illusions using openCv

On October 16, 2011, in Computer Vision and IP, Research, by Amiya
For people working in computer vision, openCv is godsend. The following is code implementation for creating an optical illusion. This involves creating a pencil sketch and some more simple filtering application. Check out the illusion here. Direct Access Header: It makes accessing individual pixels in openCv way easier
#ifndef 
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Lateral Inhibition: create your own optical illusions!

On October 16, 2011, in Blog, Computer Vision and IP, Entertainment, Research, Technology, by Amiya
EDIT: I changed the code a bit so that the strips appear horizontal rather than vertical. The advantage of it is that the hidden image can be revealed just by rapidly scrolling up and down...(while you do so fix your eye at the center). The illusion is really cool.… Read the full article

Robust Detection of Microaneurysms for Sight Threatening Retinopathy Screening

On December 16, 2008, in Computer Vision and IP, Machine Learning, Research, by Amiya
This is the work I did in my third year summer internship at the University of Warwick under the guidance of Under Dr. Abhir BhaleraoDr S. S. Anand. The work got published in a IEEE conference and also got the best paper special mention award 🙂 The… Read the full article
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Automated Mosaicing of Torn Paper Documents

On August 28, 2008, in Computer Vision and IP, Research, by Amiya
This was a joint project between me and Sukadeb for a competition held in an IEEE conference. Ideas and hints were given by Dr. Abhir (CS department Warwick Univ UK). Spend a good deal of time on it hardly realizing that we were competing against research giants like Microsoft, GE… Read the full article

Automated License Plate Recognition

On October 15, 2007, in Computer Vision and IP, Research, Soft Computing, by Amiya
Again this is a term project for Soft computing course. The results were actually amazing considering I never understood how it worked 😉 I guess that is how neural nets are...You only know how to train them and control the learning parameters and apply regularization. But once trained the net… Read the full article

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