CMSC 35040
Introduction to Computer VisionPrerequisites:
Catalog Description: The course will cover the fundamentals of digital image formation; image processing, detection and analysis of visual features; representation shape and recovery of 3D information from images and video; analysis of motion. We will also study some prominent applications of modern computer vision such as face recognition and object and scene classification. Our emphasis will be on basic principles, mathematical models and efficient algorithms established in modern computer vision.
The primary textbook for this class will be the upcoming "Computer Vision: Algorithms and Applications" by Rick Szeliski; a draft of the book is currently available online.
Instructors: Greg ShakhnarovichQuarter offered: Spring
Last Verified by Sharon Salveter on 27 January, 2010.