EVALUATION METHOD

THIS INFORMATION IS REPEATED IN THE "GENERAL INFORMATION PAGE" together with other relevant info

Grading: 50% Exam, 50% Continuous evaluation (Project + MAP)

Continuous evaluation  This component of the final grade is decomposed as follows

- Project (35 %) involving only code delivery  (dates and format of the code delivery will be defined later)

- One MAP (15%) : A 30 min quizz in the last theoretical class 

Minimum grade -

     Exam - 8.00

     Project - 9.5

     MAP30 - no minimum grade

Oral discussions: top grades (18-20) in the project may be subjected to an oral discussion. Oral discussions will take place in the end of week 8.  

Materials

Text book : Richard Szelisky, Computer Vision: Algorithms and Applications, Springer 2011 (rev 2021), available online http://szeliski.org/Book/

Lecture Slides:

Course contents changed from last year but for the most part it is contained in  lecture slides from last year (2020/2021) -

You can find Materials from 2020-21 with video lectures and slides. Note that there will be changes and change of sequence! Updates in class.

Current slides (published as we go)

Further (encouraged) readings : Multiple View Geometry in Computer Vision, R. Hartley, A. Zissermann Cambridge University Press, 2000

Software: Project code can be done in Python or Matlab. We recommend opencv ( http://opencv.org) for python and matlab toolboxes (from matlab or external).