An introduction to computer vision and machine perception. An
intensive study of the process of generating a symbolic description of
the environment from an image.
Academic Honor Code
instituted by the Students of Georgia Tech applies
in this class.
Collaboration:
The critique and summary of readings HAS TO BE DONE ON YOUR OWN
WITHOUT ANY COLLABORATION.
Discussions on projects and problem sets is allowed, however,
the solutions to the problems sets and projects have to
be done individually. In case of discussions in groups, please
specify to me who were the members of the group that came to
the submitted solutions.
Late Policy:
5 late days are allowed that they can use throughout the
quarter without penalty. Please specify when turning in
assignement that you are using your allowed late days. Overall,
each day of late assignement (not covered by above 5 late days)
will result in
one letter grade drop.
Reports:
All written material will be submitted electronically in HTML
format and will be put up on the WWW pages for this course. If
for some reason you object to this please see the instructor.
We will use the following two labs for work in this class:
SGI Indy Cluster (130 CoC)
Hours Posted on the Door
Imaging Lab (304 CoC)
M-Th 9a-10p, F 9a-6p, S-Su 12n-6p
Matlab will be preffered 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.
Accounts to labs that you do not have access to (ie. computer
accounts) wll be provided. Please make sure you fill in the
right forms.