Jump label

Service navigation

Main navigation

You are here:

Main content

Computer Vision

| Gernot A. Fink | Embedded System Design | Department of Computer Science | University of Dortmund


Lecture Computer Vision, WS 2006/2007


Tutorials:

Date: February 12-15 (9 AM - 5 PM)
Location: Electrical Engineering Department, P1-01 R108a

Note: Registration required until December 19, 2006!

Introduction:

For the majority of living beeings vision is the most important perception mechanism for orienting themselves in the environment. Therefore, there exists a multitude of attempts to recreate this capability in artificial systems. In contrast to image processing techniques found in industrial applications the aim of such advanced systems for machine vision is to obtain a task-oriented interpretation of a complex scene with as few restrictions as possible concerning the context and the recording conditions.

In this lecture advanced techniques of machine vision are covered which to some extent are inspired by cognitive processes known from human visual perception. First, important aspects of imaging processes are introduced with an emphasis on the perception of colors. Afterwards, methods for the extraction of image primitives (e.g. regions and edges) and for the calculation of feature representations (e.g. texture, depth, or motion) are presented. Finally, the lecture focusses on visual perception processes at the boundary between image processing and scene interpretation. Especially, appearance based object recognition techniques and methods for tracking objects in image sequences will be covered.

The accompanying tutorials will give students the opportunity to deepen their knowledge of the theoretical concepts presented in the lecture by working on relevant practical problems.

Topical focus areas (Schwerpunktgebiete): 2 (..., Embedded Systems, ...), 6 (Computational Intelligence ...), 7 (Intelligent Systems)

Bibliography:

Accompanying Materials:

 


| Gernot A. Fink | Embedded System Design | Department of Computer Science | University of Dortmund