Computer Vision

Catalog description

This course provides an introduction to computer vision including: fundamentals of image formation; camera imaging geometry; feature detection and matching; multiview geometry including stereo, motion estimation and tracking; and classification. Students d evelop basic methods for applications that include finding known models in images, depth recovery from stereo, camera calibration, image stabilization, automated alignment (e.g. panoramas), tracking, and action recognition. MAI640 Cognitive and Behavioral Foundations for Artificial Intelligence (3 Credit Hours) The course is designed to provide students with a deep understanding of the underlying principles and mechanisms governing human behavior and cognition. By delving into these areas, students will gain insights into how these principles can be applied to ad dress current and emerging challenges across industries. Key topics to be covered include vision, audition, language processing, learning mechanisms, emotional and social cognition, creativity, and consciousness. This course offers a unique opportunity to explore the intersection of AI and human cognition, preparing students to navigate the evolving landscape of AI technologies and their societal implications. Number Name Credits