Image Based Recognition and Classification (bik12)
This course will focus on methods for recognition and classification of image content such as face detection and written text. There are two main strands to this course. The first deals with introducing the students to image processing techniques to extract information, feature extraction, from images that can be used for the classification of its content.
While the second and more substantial part gives a thorough overview at a practical and theoretical level of methods to perform the classification. Most of these methods rely on machine learning techniques and probabilistic reasoning.
Throughout algorithms introduced in the course will be tested and/or implemented by the students on real world images.
Course AimsThe goal of this course is to
This is a 6 credit course and run by the school of Computer Science and Communication (CSC) at KTH. The people organizing the course are:
Course Leader: Josephine Sullivan (email@example.com)
Only undergraduates registered in Ladok are eligible to take the course. You are supposed to first apply/choose this course as a part of your optional courses. Phd students will need a special form signed by their supervisor and the dean from their home institution. More info can be found here.
Everyone attending the course has to also register with CSC's
course administration system res. This is done by using
the following command
Before the first scheduled
lab moment, you should also join the course with the CSC's course
administration program course.
This command sets up your environment setting such as for example access to some of the module files needed during the course. These will be loaded automatically each time you log in. In addition, it controls with each login if a lecturer has sent any new messages to course participants.
After finishing the course, you should do
Course Structure at a Glance
Course Reading Material
The lecture notes are self-contained. However, the following books cover the topic of classification and can be used for supplementary reading.