Axiom - A Modular Visual Object Retrieval System

Authors:
Jochen Wickel;Pablo Alvarado;Peter Dörfler;Thomas Krüger;Karl-Friedrich Kraiss
Affiliations:
-;-;-;-;-
Venue:
KI '02 Proceedings of the 25th Annual German Conference on AI: Advances in Artificial Intelligence
Year:
2002

Citing 12
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Abstract

Computer vision has always been an active research domain within artificial intelligence. Recognizing visual objects can alleviate the interaction of users with information retrieval systems. In this paper, we present a modular object recognition system which combines advanced image processing methods with AI techniques in a flexible way. This flexibility permits adaptations to a large variety of tasks. We describe the system architecture, point out some of the key algorithms and present experimental results which demonstrate the system's performance in several recognition tasks.