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CS 7322: Computer Vision II
(aka. High-Level Computer Vision)
Information/Administrivia
Spring 1997 3:05pm-4:25pm, April 2, 1997 -
June 4, 1997
Classroom: CoC 102 (Monday, Wednesday)
Instructor: Irfan Essa
| http://www.cc.gatech.edu/fac/irfan
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Instructor
What is Computer Vision?
Computer vision, sometimes called image understanding,
describes the automatic deduction of the structure and the properties
of a possibly dynamic three-dimensional world from either a single or
multiple two-dimensional images of the world. The images maybe
monochromatic or colored, they may be captured by a single camera or
multiple cameras, and each camera may be either stationary or mobile.
Description of Course
An in-depth study of computer vision and machine perception. More
specifically, a study of higher-level methods for generating symbolic
representations of scenes from digital imagery. These methods include
model-based, AI and pattern classification techniques for recognition
and tracking from image(s).
Topics to be covered
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Model-based vision
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Physics-based models
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Active and Dynamic Models
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Recognition Methodologies
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Pattern Recognition Methods
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Estimation and Detection
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Principle Component Analysis
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Feature-based and View-based methods
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Object Recognition
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Perception and Visual Reasoning, Learning
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Motion Estimation
Prerequisites
| CS 7321 Computer
Vision I |
OR |
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Linear Algebra
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Probability
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Programming Experience
(Matlab Preferred)
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Experience with Imaging (Input/0utput, filtering)
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OR |
Permission of Instructor |
Text(s):
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Recommended but not required texts:
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Foundations of Vision
B. A. Wandell, Sinauer Associates Inc. 1995 (Should
be available at the Bookstore)
High-level Vision: Object Recognition and Visual Cognition
S, Ullman, MIT Press 1995. (Should be available at the Bookstore)
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Computer and Robot, Vision Volume I and II
R. M. Haralick and L. G. Shapiro, Addison-Wesley, 1993
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Machine Vision
R. Jain, E, Kasturi, and B. G, Schunck, McGraw-Hill, 1995 (Highly
recommended if you haven't had any exposure to Computer Vision).
Additional Reading(s):
Additional Readings in form of state-of-the-art papers or chapters from
other text books will be handed out in class.
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We will use the following two labs for work in this class:
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SGI Indy Cluster (130 CoC)
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Hours Posted on the Door
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M-Th 9a-10p, F 9a-6p, S-Su 12n-6p
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Matlab will be prefered platform for all work, however, for Final
Projects, you can use any language/system/set up. We will also schedule
the above labs for a meeting during class time.
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A few C-based image manipulation packages can be provided for those who
dislike using matlab.
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Accounts to labs that you do not have access to (ie. computer accounts)
will be provided. Please make sure you fill in the right forms.
There is a newsgroup for this class. git.cc.class.7322.
Be warned that I am not much of newsgroup reader.
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