Large-Scale Real-Time Object Identification Based on Analytic Features

Authors:
Stephan Hasler;Heiko Wersing;Stephan Kirstein;Edgar Körner
Affiliations:
Honda Research Institute Europe GmbH, Offenbach, Germany D-63073;Honda Research Institute Europe GmbH, Offenbach, Germany D-63073;Honda Research Institute Europe GmbH, Offenbach, Germany D-63073;Honda Research Institute Europe GmbH, Offenbach, Germany D-63073
Venue:
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Year:
2009

Citing 7
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Abstract

Inspired by biological findings, we present a system that is able to robustly identify a large number of pre-trained objects in real-time. In contrast to related work, we do not restrict the objects' pose to characteristic views but rotate them freely in hand in front of a cluttered background. We describe the essential system's ingredients, like prototype-based figure-ground segmentation, extraction of brain-like analytic features, and a simple classifier on top. Finally we analyze the performance of the system using databases of varying difficulty.