Wavelet-based hierarchical organization of large image databases: ISAR and face recognition | Zendy

John S. Baras | Zendy; Sheldon I. Wolk | Zendy

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<title>Wavelet-based hierarchical organization of large image databases: ISAR and face recognition</title>

Author(s) -

John S. Baras,

Sheldon I. Wolk

Publication year - 1998

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.304921

Subject(s) - computer science , preprocessor , artificial intelligence , facial recognition system , hierarchical clustering , wavelet , cluster analysis , pattern recognition (psychology) , inverse synthetic aperture radar , face (sociological concept) , vector quantization , computer vision , graph , radar imaging , radar , theoretical computer science , telecommunications , social science , sociology

We present a method for constructing efficient hierarchical organization of image databases for fast recognition and classification. The method combines a wavelet preprocessor with a tree-structured-vector-quantization for clustering. We show results of application of the method to ISAR data from ships and to face recognition based on photograph databases. In the ISAR case we show how the method constructs a multi-resolution aspect graph for each target.

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