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Course Mechanics
Syllabus
Announcements
Homework
Handouts
Teaching Staff
Project Guidelines
Resources
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Places and Dates
Venue:
Microsoft Lab D240 LSRC Tue-Thu 9:10-10:25
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Homework 1, due on
January 27, 2004. You will also need the files
copy.c and
noisy.jpg .
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Homework 2, due on
February 24, 2004. You will also need the files in this
zip archive.
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Homework 3, due on
March 30, 2004. You will also need test image
checkerboard.jpg and a
zip file with new and improved
k-means code. This also include code for EM, in case you want to play
with it.
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Homework 4, due on
April 7, 15, and 22. This is the final project.
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These notes on image processing (Postscript,
PDF) summarize what we
need out of
pages 135-174 of the textbook. The textbook pages are still recommended
reading. The Matlab
function gradient.m computes the
gradient (derivatives in the row and column
direction) of an image as explained in the notes.
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A paper on
bilateral filtering is useful if you want to work on the project
suggestion in homework 1.
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A zip file with
all that is needed for the SSD browser,
including two test images. The Lucas-Kanade tracker is implemented
here as well.
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A technical
report on the Lucas-Kanade tracker, including a feature
selection method.
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Wang and Adelson's
tech report on layers.
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Matlab Code
for k-means and Expectation Maximization.
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A tutorial for
Expectation Maximization. See also previous tutorials by
Weiss,
Rennie,
Minka,
and Dellaert.
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A zip file
with Matlab code that generates random dot stereograms and finds
correspondences with the Marr-Poggio algorithm.
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E-mail address:
tomasi@cs.duke.edu
Office Hours: Tuesdays and Thursdays, 10:30am - 11:30am
Office Location: D213 LSRC
Office Phone: (919) 660-6539
FAX: (919) 660-6519
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E-mail address:
jeffp@cs.duke.edu
Office Hours: Wednesdays at 2:30-3:30
Office Location: North 06
Office Phone: (919) 660-4006
FAX: (919) 660-6519
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