CSCI 508 / EENG 508 - Advanced Topics In Perception and Computer Vision
Semester: Spring 2017
Overview
This course covers advanced topics in perception and
computer vision, emphasizing research advances in the field. The course focuses
on structure and motion estimation, general object detection and recognition,
and tracking. Projects will be emphasized, using popular software tools. The pre-requisite
is "Introduction to Computer Vision" (CSCI507/EENG507) or equivalent. 3
hours lecture.
Instructor
- Associate Professor William Hoff
- Room BB249 (Brown Hall)
- Phone: (303) 273-3761
- Email: whoff@mines.edu
- Home page: http://inside.mines.edu/~whoff/
- Office hours: Tuesday 11-12, Thursday 10-11 (or by appointment)
Required text
-
The required textbook is Computer Vision: Algorithms and Applications,
Richard Szeliski, Springer 2011. It is available electronically
through the school's library at
http://link.springer.com/book/10.1007%2F978-1-84882-935-0. Students
must be on campus or logged in via the VPN to view this book.
Optional texts
- Visual Object Recognition, by Grauman and Leibe, Morgan & Claypool,
2011. Overview of computer vision
algorithms for visual object recognition and image classification.
Available
here.
- Computer Vision: Models, Learning, and Inference, by Simon
J.D. Prince, Cambridge University Press, 2012.
Focuses on probabilistic models, learning, and efficient inference
algorithms for computer vision. Available
here.
- There are a lot of books on OpenCV (see
http://opencv.org/books.html for
a complete list).
-
Although not a textbook, I highly recommend getting the
student version of MATLAB. Although MATLAB is installed on the
computers at school, having it on your own computer would enable you to work
at home. It's a great deal for students, on a very powerful and
industry-standard tool. For this class, I recommend getting the main
system ($49) and these toolboxes: image processing ($10), computer
vision ($10), statistics & machine learning ($10).
Schedule Information
-
The lecture is held in BB316B on TR 12:30-1:45 pm.
Useful Links
