64-420 Lecture Computer Vision I

Instructors: Prof. Dr. Simone Frintrop; Noha Abdelsalam Abdelkader Sarhan

Event type: Lecture

Displayed in timetable as: BV 1 - VL

Hours per week: 4

Credits: 6,0

Language of instruction: English

Min. | Max. participants: - | 40

Comments/contents:
The field of Computer vision deals with developing algorithms that interpret and modify images. This lecture offers an introduction into the methods of computer vision, with a focus on the following topics:

- the human visual system and its implications for computer vision
- basics of digital images
- basics of image processing
- convolution and digital filters
- edge detection
- segmentation
- features and interest points
- classification of objects and scenes

The lecture takes place every winter semester

Learning objectives:
Knowledge of the basics of computer vision methods as a basis for application areas such as
 
   Image retrieval and image search engines
   Human computer interaction
   Object- and scene recognition  
   Monitoring and surveillance
   Robotics

Didactic concept:
Lecture (in english).
The assignments take place during the lecture slots, partly as programming tasks in Matlab. Pre-knowledge of Matlab is not required.

Literature:
R. Klette: Concise Computer Vision: An Introduction into Theory and Algorithms, Springer 2014

R.C. Gonzalez, R.E. Woods: Digital Image Processing (3rd edition), Prentice-Hall 2008

R. Szeliski, Computer Vision: Algorithms and Applications, Springer, 2011

D.A. Forsyth, J. Ponce: Computer Vision, A Modern Approach (2nd edition), Prentice-Hall 2012

(additional literature will be announced during the lecture)

Additional examination information:
There will be a written exam at the end of the term.