Instructor: Aaron Bobick Office: CCB 316 afb@cc.gatech.edu Office Hours: Tues 2-3pm (but better to make email appointment because of travel)

TA: Ana Huaman Office: CCB2XX ahuaman3@gatech.edu    Office Hours: Tues 1-3pm

TA: Yin Li Office: CCB308 happyharrycn@gmail.com     Office Hours: Fri: 1-3pm

 

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ALERTS for REGISTRATION:

August 15:  There are three sections. 

CS4495A is for UNDERGRADS.  There is a cap of 50 – as of Aug 15 there are 50.    Overloads anyone????  Usually many drop so we’ll see if spots open. 

CS4495GR is intended for GRADS, mostly MSCS.  There are currently 15 of 20 – but I know there are many of you who want to register.  Come to class and we’ll work it out. But there will be a preference for MSCS. 

CS7495 is primarily for PhD students.  Normally that is a totally different course but this year they will be combined.  By Aug 19, we’ll have a better idea of the requirements for that.   And there will be it’s own web site:  http://www.cc.gatech.edu/~afb/classes/CS7495-Fall2014/

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Who is this for?  CS4495 is a senior level undergraduate course for those interested in computer vision. It is also open to MS graduate students as well as PhD students who need a solid grounding before taking the graduate version (CS7495).  MS graduate students should enroll in CS6495GR.

Prerequisites

·         Data structures you’ll be writing code that builds representation of images, features, and geometric constructions.

·         A good working knowledge of Matlab or Python or if desperate C/C++ programming. The course will use Matlab in lecture demonstrations.  Problem sets will be done in Matlab or Python unless you convince me to hand in C++.

·         This course has more math than many CS courses: Linear algebra, vector calculus, and linear algebra (that is not a typo).

·         No prior knowledge of vision is assumed though any experience with Signal Processing is helpful

Textbooks

The main book will be the Ponce and Forsyth.  Now that there is a second edition, it covers more of the material that makes up this course.  The Szeliski book is a great reference but really more of a modern review of the state of the art methods – more appropriate for a graduate class..  There is a (legal!) on-line PDF of the Szeliski book so we will strongly recommend buying the Forsyth and Ponce and using Szeliski's digital version.

FP: Forsyth & Ponce, Computer Vision: A Modern Approach (2nd Edition), Prentice Hall, 2011, ISBN-10: 013608592X, ISBN-13: 978-0136085928 (on Amazon)

SZ: Richard Szeliski, Computer Vision: Algorithms and Applications (book Web site )

Administrative

·         Web site: This site.  Will have posted calendar/syllabus with posted slides, problem sets with data, other administrative stuff.

·         T-square:  The usual stuff. There is a web page under resources that points to this class web page.

·         Slides: PDF slides will be posted by linking to the calendar.  I will try to have them up before lecture.  No guarantees.   These slides are really the basis for the class and homework.

·         Piazza: You will all receive an invitation to Piazza for CS4495.  If not, send us email.  This was invaluable for discussions of problem sets.

·         Matlab access:  if you don’t know how to get MATLAB access, first ask a friend. Then come see the TAs or me. 

·         Python access: some of you may use Python and OpenCV.  We’ll give you some support but mostly you’re venturing into the great unknown.

Grading- CS4495A and CS4495GR

Finalizing now. The grade is mostly based on a variety of problem sets. Currently scheduled to be 8, though the first one (project zero – we’re so CS) is really just to make sure you can read in an image, do something to it, and get some results.  Problem sets are due Sunday at 11:59pm unless otherwise stipulated.  The goal will be to have problem sets posted by Thursday, 10 days before they are due.   There will also be an exam – we will see if it will be a final or a “near the end of the term” exam.  This is just to test some fundamental understanding without a text or colleagues.

·         Problem Set 0: 5%

·         Problem Sets 1 – 7:  80%

·         Exam – 15%

Grading- CS7495

Being decided now.  Check out the CS7495 web site soon… (will be http://www.cc.gatech.edu/~afb/classes/CS7495-Fall2014/)

 

Late Policy

Don't be late, it’s not fair to the TAs.  We will not accept late home works for full credit it unless you have (several day) prior approval from the professor for really extenuating circumstances.   Submit what you have on time.  

What we did in the past and will do again this year:  You may submit revised/new sections of the problem sets late but with a 50% reduction.  More details on this later but it does allow you to catch up if you fall behind.  But the 50% penalty is fixed.  

Honesty and Integrity Policy

Projects are to be done individually but you may collaborate at the white board level. You may help each other with algorithms and general computation, but your code must be your own.  REPEAT: THE CODE MUST BE YOUR OWN.  ANYTHING TAKEN FROM THE WEB IS NOT YOUR OWN!!!!

 

 

 

Last modified: 9/3/2014