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Optical Engineering

Karhunen-Loeve techniques for optimal processing of time-sequential imagery
Author(s): Pieter J. E. Vermeulen; David P. Casasent
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Paper Abstract

Time-sequential imagery is difficult to analyze because of its high dimensionality. This paper advances a new algorithm that screens input data in an intelligent way, discards data with negligible information, and uses the remaining images to represent the sequence in an optimal compact form. We present data to illustrate how this algorithm can be used to do novelty filtering, novelty detection, segmentation, background independent modeling, and classification.

Paper Details

Date Published: 1 April 1991
PDF: 9 pages
Opt. Eng. 30(4) doi: 10.1117/12.55812
Published in: Optical Engineering Volume 30, Issue 4
Show Author Affiliations
Pieter J. E. Vermeulen, CSIR (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)

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