BLG 453E - Computer Vision

Course Objectives

- Introduce students to the artificial vision topics that are a part of the artificial intelligence field
- Describe algorithms in the analysis of 2D and 3D data which are required for “making computers see” and interpret data
- Cover the basic image processing and computer vision techniques mathematically as well as with applications
- Implement basic image analysis algorithms in computer vision field using computers

Course Description

The aim of the course is to study computer vision, which tries to “make computers see and interpret” using the observations in the form of multiple 2D (or 3D) images. In this undergraduate level course, the focus is on mainly 2D image processing fundamentals and basic computer vision concepts. The course will provide the participants with a background in Computer Vision both in practical aspects as being able to implement computer vision algorithms, and their mathematical understanding.