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CS410

COMPUTER VISION

Credits
5
Year
4
Semester
1
Department
COMPUTER SCIENCE

Overview

In this course students will be given a broad introduction to the field of computer vision, including the following topics: Introduction to computer vision and its applications; cameras and sensing; visual attributes, histograms and kernel density estimation; contour extraction; interest point detection and matching; machine learning and deep neural networks for computer vision.

Learning Outcomes

  • Explain the underlying principles, advantages and limitations of the AI approaches to solving problems
  • Demonstrate the application of artificial intelligence techniques to problem solving
  • Describe AI algorithms with their application to a range of problem types
  • Describe the concepts of modern AI different systems, explaining differences to classical techniques
  • Assess the strengths and weaknesses of AI approaches to different problems
  • Compare classical and learning (embedding) approaches to processing text
  • Assess the impacts of representational alternatives for problems and linguistic information