6.344  Digital Image Processing

Please submit your subject evaluations

Hi All,

If you haven't done so already, please submit your evaluations at
http://web.mit.edu/subjectevaluation

Your feedback is highly valued by the department (resource allocation), faculty (course development) and your fellow students (HKN underground guide). As I mentioned, your feedback on new features such as the MATLAB exercises would be very helpful.

Have a great summer!

Best regards,

Vivienne

Announced on 17 May 2014  7:38  a.m. by Vivienne Sze

Presentation Prize

Also, there will be a small prize for best presentation on each day as
voted by the audience (so audience members, please arrive on time).

Announced on 12 May 2014  9:30  p.m. by Vivienne Sze

Project Presentation Schedule

I've uploaded the presentation schedule to stellar: https://stellar.mit.edu/S/course/6/sp14/6.344/courseMaterial/topics/topic1/readings/Project_Presentation_Schedule/Project_Presentation_Schedule.pdf

*** As a courtesy to your fellow students, please arrive to class on time, as we must start at 11:05am sharp in order to fit everyone in.***

We have many exciting projects this year, covering a variety of topics and applications. Zhengdong and I are very much looking forward to seeing all your presentations.

Announced on 12 May 2014  9:10  p.m. by Vivienne Sze

Demos for presentations

If you plan to show a demo for the class presentation (encouraged),
please let us know. Otherwise, by default, we'll upload all the slides
to the same computer to minimize transition times between presentations.

Announced on 12 May 2014  10:44  a.m. by Vivienne Sze

Project Presentations

A reminder that project presentation slides are due today at 6pm. We'll be sending out the schedule tonight after 6pm.

For the project presentations, please make sure that you tailor the presentation to the audience (students and staff of 6.344); this is particularly true for those of you who have applied image processing to your research area for your final project.

I would strongly encourage that you spend one or two slides setting up the problem (at a high level such that the audience, who are not domain experts can understand the importance of your problem) and focus the majority of the presentation on the image processing techniques that you applied to the problem (please highlight what you did, why it is challenging, how is it different or how does it compare to previous approaches - if any).

Remember that you only have 10 min per presentation (12 min for 2 person projects), so please plan accordingly. We will need to be strict on the time in order to fit in all the presentations during class time.

Announced on 12 May 2014  9:33  a.m. by Vivienne Sze