E1 216 : Computer Vision

Course Webpage : http://www.ee.iisc.ernet.in/new/people/faculty/venu/cv/index.html


Instructor
Venu Madhav Govindu
Room 205, Electrical Engineering
Phone : 2293 3171
Email : venu AT ee DOT iisc DOT ernet DOT in


Course Outline :

Of all the human senses, vision is the richest in content and perhaps the hardest to formalise in a rigorous manner. As a discipline, Computer Vision covers a wide variety of methods for interpretation and analysis of visual data using a computer. In this course we will present a broad, introductory survey of the field. The objective of the course is to develop a familiarity with the approaches to modelling and solving problems in computer vision. Mathematical modelling and algorithmic solutions for vision tasks will be emphasised.

We shall endeavour to cover the following topics :

This course has no pre-requisities. However, familiarity with linear algebra and probability theory will be useful. Programming assignments will be implemented in Matlab, familiarity with C is helpful;
Homework assignments and reports are to be submitted in electronic format.

Contact Hours : Monday and Wednesday after class hours or by appointment

Grading will be based on
  1. two term tests (15 % x 2 = 30 %)
  2. a final exam (50 %)
  3. homework assignments (5 % x 4 = 20%)