The Imalab Method for Vision Systems

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The Imalab Method for Vision Systems
We propose a method to construct computer vision systems using a workbench composed of a multi-faceted toolbox and a general purpose kernel. The toolbox is composed of an open set of library modules. The kernel facilitates incremental dynamic system construction. This method makes it possible to quickly develop and experiment new algorithms, it simplifies the reuse of existing program libraries, and allows to construct a variety of systems to meet particular requirements. Major strong points of our approach are: (1) Imalab is a homogeneous environment for different types of users, who share the same basic code with different interfaces and tools. (2) Integration facility: modules for various scientific domains, in particular robotics or AI research (e.g. Bayesian reasoning, symbolic learning) can be integrated automatically. (3) Multilanguage integration: the C/C++ language and several symbolic programming languages - Lisp(Scheme), Prolog, Clips - are completely integrated. We cons...
Augustin Lux
Added 07 Jul 2010
Updated 07 Jul 2010
Type Conference
Year 2003
Where ICVS
Authors Augustin Lux
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