Computational Vision

About this course

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.

What you will learn

• Apply various models of human and machine vision and discuss their limitations.
• Demonstrate the geon model of object recognition and its limitations.
• Argue the benefits and drawbacks of the symbolist and visualist perspectives of mental imagery.
• Recognize the single layer and multi-layer perceptron neural network models of artificial intelligence.