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

John S. Baras; Sheldon I. Wolk

doi:10.1117/12.304921

26 March 1998 Wavelet-based hierarchical organization of large image databases: ISAR and face recognition

John S. Baras, Sheldon I. Wolk

Proceedings Volume 3391, Wavelet Applications V; (1998) https://doi.org/10.1117/12.304921
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

John S. Baras and Sheldon I. Wolk "Wavelet-based hierarchical organization of large image databases: ISAR and face recognition", Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); https://doi.org/10.1117/12.304921

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available