Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

University of Colorado Boulder

Computational Vision

University of Colorado Boulder via Coursera


In this course, we will expand on vision as a cognitive problem space and explore models that address various vision tasks. We will then explore how the boundaries of these problems lead to a more complex analysis of the mind and the brain and how these explorations lead to more complex computational models of understanding.


  • Introduction
    • This week we will explore some basic assumptions of a simple model of human vision.
  • Edges, Depth, and Objects
    • This week we will explore models of higher-order tasks solved by the visual system.
  • Mental Imagery
    • This week we will compare and contrast different perspectives of how mental imagery relates to the visual system.
  • Machine Learning and Neural Networks
    • This week we will explore the neuron as an element of the human cognitive system and ways we can implement these pieces into neural network systems of artificial intelligence.

Taught by

David Quigley


4.4 rating at Coursera based on 62 ratings

Start your review of Computational Vision

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.