Project

For the final project, you are asked to implement an algorithm/approach described in a computer vision research paper that you like or find particularly interesting (see syllabus for rationale).

Example Papers: Fall 2004 Papers ICCV 2005 CVPR 2005

The Final Project time-table:
  • 10/31: Notice of Intent
  • 11/28: Final project Due
    No late submissions will be accepted due to the logistics associated with the in-class presentations.
  • 12/5 and 12/7: In class presentations
Notice of Intent

To force you to think about it well in advance of the due-date, you need to hand in “notice of intent” on Oct 31, consisting of

  • a hardcopy of the paper
  • a paragraph as to why you chose this paper
  • a half-page description of what exactly you intend to implement

Contrary to previous rumors, no example is provided at this time.

Deliverable

A swiki page, added to the class swiki, containing:

  • A project report detailing what you implemented, including figures and/or tables showing the results, if any. If the algorithm did not run as well as you planned, please explain why you think that is.
  • A copy of the source code with a README file as to what is what. This does not have to compile on our machines, i.e. you can use libraries which we might not have, etc. Language is free choice, but please document the code.
  • An executable that will run on Windows, Linux, or Mac, along with test data if needed to make it run
  • One (1!) powerpoint slide for the in-class presentation

The swiki page will function as the report, but for our records and documentation we would like you to provide us with a printout of your swiki page.

Grading

Grading criteria include

  • quality and presentation of swiki-page
  • quality of oral presentation
  • coding style and documentation
  • whether the code runs
  • quality of the results or quality of the explanation why results are poor
In-class Presentation

In the final two lectures, everyone will get a chance to present their final project. Due to the high enrollment in the class, the format is limited to:

  • 3 minute presentation
  • 1 powerpoint slide (see above)
Presentation Schedule
Note: All presentations will be given on a Macintosh.
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Tue 2005.12.05
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1 Arici, Tarik & Aslam, Salman M.
3 Bae, Soo Hyun & Kim, Woo Young
5 Beall, Christopher A.
6 Boyer, Garrett F.
7 Campos, Stephen J.
8 Charania, Amirali K.& Yadav, Pradeep
10 Diao, Mamadou
11 Doo, Myung C.
12 Gallego Bonet, Guillermo
13 Grundmann, Matthias
14 Gupta, Gaurav
15 Hamilton, Benjamin R.
16 Helms, Michael E.
17 Horvat, Bryan A.
18 Hou, Dan
19 Huang, Yiyi
20 Joshi, Siddharth V.
21 Krishnamurthi, Niyant
22 Kunda, Maithilee
23 Lee, Jin Han
24 Lillethun, David J.
???? Matthews, James M.
26 McManus, Rodney S.
27 Mottaghi, Roozbeh (DemoVideo)
28 Post, Rachel C.& Myers, Brent A.
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Thu 2005.12.07
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from last session: Joshi, Siddharth V.(Demo)
Jinhan Lee (Demo)
25 Ssi-Yan-Kai, Gregory W. (DemoVideo)
26 Matthews James M
27 Robinson, Martin J.
28 Sacks, Albert W.
29 Subramaniam, Samantika&Zaidi, Syed M.
30 Sun, Mingxuan
31 Trevor, Alexander J.
32 Vemulapalli, Smita
33 Wren, Matthew J.
34 Wu, Chih-Sung (Andy)
35 Zhang, Min
36 Zhu, Jichen
37 Amundsen, Thomas C&St.Clair, Aaron B.
38 Bardagjy, Andrew M.
39 Bleigh, Michael T.& West, Alexander B.
40 Bonaparte, Patrick & Chaippini, Joseph A.
41 Cruz, Luis F.
42 Fraser, Douglas K.
43 Gruendler, Jack W.
44 Hitt, Michael G.& Patel, Shovaen B.
45 Lim, Chansereyratana
46 Planteen, Cody G.
47 Roberts, Richard J.
48 Rutter, David C.
49 Lee, Ivan S. (DemoLaptop)