DD2427 Image Based Recognition and Classification 4 points

This course will be given in English.
latest course info: bik11.

Course leader: Josephine Sullivan
Email: sullivan@csc.kth.se

General description of the course

The course deals with methods for recognition and classification of image content such as written text, 3D objects or events. We will mainly study methods based on automatic learning from exemplars. We will study basic theory for this and algorithms based on real data. We will also give an overview of research in the field. A hand in excercise will deal with different methods for classification and a laboratory will produce an implementation of an algorithm for detecting faces in images


Example of automatic detection of vehicles and faces

Prerequisites:

Basic courses in linear algebra and statistics. Knowledge about things such as vector, matrix, eigenvector, linear systems of equations, probability distributions, statistical parameters, expectation value, variance and correlation
Image processing and computer vision 2D1422 is a good background but not necessary.

Course literature

Listed at latest course info

The course will be given in English in period 3 with Stefan Carlsson and Josephine Sullivan as lecturers.

Study Handbook text in Swedish och English.