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Proceedings Paper

Invariance considerations in design of image-formation-measurement computer systems
Author(s): Svetlana A. Filatova; Peter V. Golubtsov
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Paper Abstract

Image registration measurement systems (MSs) often possess the following specific properties: the measurement results of these systems demand for further complex processing; these MSs deal with large amounts of data; and they possess a high level of invariance. In this paper a general description of measurement systems invariant with respect to a given group of transformations (e.g., translations, reflections, rotations of field of view) is considered. Then the problem of an optimum measurement computer system (MCS) synthesis for a given invariant MS is stated. It consists in obtaining a mapping (describing processing algorithm), delivering an optimum to the MCS as a whole. It is shown that proper allowance for invariance can significantly simplify MCS's synthesis problem solution and, as a consequence, appreciably cut down the computational costs involved both for constructing an optimum computational component of MCS and for its subsequent functioning.

Paper Details

Date Published: 15 October 1993
PDF: 12 pages
Proc. SPIE 1960, Automatic Object Recognition III, (15 October 1993); doi: 10.1117/12.160623
Show Author Affiliations
Svetlana A. Filatova, Moscow State Univ. (Russia)
Peter V. Golubtsov, Moscow State Univ. (Russia)

Published in SPIE Proceedings Vol. 1960:
Automatic Object Recognition III
Firooz A. Sadjadi, Editor(s)

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