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ICANN
2009
Springer

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

13 years 7 months ago
Large-Scale Real-Time Object Identification Based on Analytic Features
Inspired by biological findings, we present a system that is able to robustly identify a large number of pre-trained objects in realtime. 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.
Stephan Hasler, Heiko Wersing, Stephan Kirstein, E
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2009
Where ICANN
Authors Stephan Hasler, Heiko Wersing, Stephan Kirstein, Edgar Körner
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