I started learning AI about 4 years back with a few interesting hard to solve problems in NLP, studied logic, language and grammar systems. Moved on to Data science, read every book in the subject from algorithms to methodologies to statistical analysis, fell in love with data and while solving a problem in image classification I discovered Computer Vision. That’s when I decided to work on CV research and gain expertise in it. I am always either reading something related to computer vision or coding a solution for a vision problem. I am also working on a Document Data extraction System which can be found at 9sphere.space. Below is a short demo of it.
If my documention information extractor can be help you in any way, let me know by sending me an email at muthukrishnan.t [at] hotmail.com
I loved reading and collecting books. I have read every book in the recommended list for computer vision including a large number of books on Linear Algebra, Calculus, Geometry, Graph Theory, Neural Networks, Probability, Statistics, etc. Those books were more like a refresher as they were all part of my undergraduate study in computer science engineering. Other books I read frequently are in the fields of Projective Geometry, Deep Learning, AI systems and Computer vision. I frequently read research papers in the field of OCR and Document analysis. My primary research interest is information extraction from images.
Reach me at my email muthukrishnan.t [at] hotmail.com