Computer vision is a broad field that enables computers and machines to process visual stimuli like humans do
Hubbel and Wiesel - found tht simple cells within the visual cortex are responsible for detecting contrast in light/dark and complex cells responded to motion and detected edges and corners
Fukushima's Neocognitron - inspiration for Convolutional neural networks
LeNet - LeCun used gradient based learning to train CNNs and was able to detect hand written digits with fairly high accuracy
Computer Vision in the 2000's . - made uses of feature extraction techniques to first extract features taht were fed into other ML techniques like SV or Logistic REgression
AlexNet (2012) . - using deep neural network, they achieved 16-percent top five error rate which beat previous state of the are on teh Image dataset by over 10 percent