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Introduction and overview about PACLib

The main structure of this programming library has been conceived by Oliver Granert and Christian Perwass in 2002 at the Department of Cognitive Science of the Christian-Albrechts-University in Kiel, Germany.

The section "\ref introidea" describes these main ideas and the philosophy behind PACLib.

The documentation is structured in two differnt views:

The functional parts of PACLib

Working with images... Working with matrix and vector classes... neural networks in PACLib (classification and regression)... 2D and 3D vector graphics... networking with PACLib (CORBA?)... robot and camera control... image filtering in PACLib (convolution...) image input and output (to file, display, from frame_grabber)... image input from frame_grabber and scanner)... The different display modules... loading and saving images with PACLib (support of different formats)...

The PACLib source structure

Currently, the following modules are available:

The main ideas and the philosophy behind PACLib

To understand the structure and design of PACLib it should be favorably to know something about the main ideas and the philosophy of PACLib. ...
Perception-Action Components Library - PACLib
developed by the Cognitive Systems Group