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ICANN
2007
Springer

A Comparison of Features in Parts-Based Object Recognition Hierarchies

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A Comparison of Features in Parts-Based Object Recognition Hierarchies
Parts-based recognition has been suggested for generalizing from few training views in categorization scenarios. In this paper we present the results of a comparative investigation of different feature types with regard to their suitability for category discrimination. So patches of gray-scale images were compared with SIFT descriptors and patches from the high-level output of a feedforward hierarchy related to the ventral visual pathway. We discuss the conceptual differences, resulting performance and consequences for hierarchical models of visual recognition.
Stephan Hasler, Heiko Wersing, Edgar Körner
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ICANN
Authors Stephan Hasler, Heiko Wersing, Edgar Körner
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