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Proceedings Paper

Wavelet-based hierarchical organization of large image databases: ISAR and face recognition
Author(s): John S. Baras; Sheldon I. Wolk
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Paper Abstract

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.

Paper Details

Date Published: 26 March 1998
PDF: 13 pages
Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); doi: 10.1117/12.304921
Show Author Affiliations
John S. Baras, Univ. of Maryland/College Park (United States)
Sheldon I. Wolk, Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 3391:
Wavelet Applications V
Harold H. Szu, Editor(s)

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