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Computer Vision Systems Spring 2011, EE 380L

Summary: Computer Vision Systems
Spring 2011, EE 380L
Instructor: J.K. Aggarwal Unique No. 16955
Class Time: TTh 2:00 3:30pm
Class room: BUR 136
Office Hours: TTh 1:00-2:00pm and 4:00-5:00 @ ENS 519
Phone: 512-471-1369, Fax: 512-471-5532
Email: aggarwaljk@mail.utexas.edu
The Computer Vision Systems course is a follow-up to a number of graduate as well as
undergraduate courses in pattern recognition, data mining, computer vision, digital image
and video processing, and other related subjects.
The course will begin with a review of the material covered in EE 380L (Pattern
Recognition) and basic computer vision concepts. Review of material in the two areas is
motivated by: (i) the extensive use of Bayesian Decision Theory, PCA and HMM and
other similar tools in Computer Vision Systems and (ii) the diversity of the backgrounds
of the students. Following the review, there will be discussion of papers drawn from the
current literature on Computer Vision Systems. The papers will be discussed by the
instructor, guest speakers and senior graduate students. The speakers will be presenting
and discussing their/other published research. In addition to the above material,
additional topics like Non-metric Methods and Linear Discriminant Functions may be


Source: Aggarwal, J. K. - Department of Electrical and Computer Engineering, University of Texas at Austin


Collections: Computer Technologies and Information Sciences; Engineering