Computational Vision

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.

• Apply various human and machine vision models and evaluate limitations
• Explain the geon model of object recognition and its constraints
• Discuss advantages and drawbacks of symbolic and visual mental imagery
• Identify single-layer and multi-layer neural network models