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Proceedings Paper

Eigen-MINACE filters for detection and clutter rejection
Author(s): Rajesh Shenoy; David P. Casasent
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Paper Abstract

A new way of designing distortion-invariant filters for object detection is described. These filters are linear combinations of eigen-images of preprocessed training data. The joint preprocessing and eigen-image formulation leads to filters with good generalization, clutter rejection and object localization. Test results using these filters for synthetic aperture radar object detection are given. We show that with a systematic procedure to select filter parameters, a 100% detection rate with no false alarms can be obtained.

Paper Details

Date Published: 26 September 1997
PDF: 10 pages
Proc. SPIE 3208, Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling, (26 September 1997); doi: 10.1117/12.290280
Show Author Affiliations
Rajesh Shenoy, Carnegie Mellon Univ. (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 3208:
Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling
David P. Casasent, Editor(s)

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