This post is written by Genevieve Patterson. She is a PhD student in 'Computer Vision' at Brown University, Providence, Rhode Island. This post originally appeared on Genevieve’s CS blog and has been republished with permission.
The core of computer vision is concentrated on learning how to automatically recognise things that humans are already awesome at recognising (dogs, cats, sail boats, handwriting, etc.). Humans can recognise these things in approximately 0.3 seconds -- you can recognize a Jack Russell before you can even think the words ‘super cute dog'. Humans are great computers.