Introduction to Computer Vision

3 credits · Undergraduate

This course introduces students to the fundamental concepts of computer vision providing an overview of the current methodologies and techniques. Students will explore the theory behind fundamental processing tasks, including segmentation, feature extraction, image classification, and object detection, using a mathematical framework to analyze images as two-dimensional signals. By the end of this course, students will be able to apply the basic principles and tools used in computer vision to solve practical problems in scientific and commercial settings. PREREQUISITES: (CSCI 1300 or MATH 1000), CSCI 2110, and MATH 1030, each with a grade of C or better.