Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-4095
Authors: Haist, Tobias
Tiziani, Hans J.
Title: Iterative nonlinear joint transform correlation for the detection of objects in cluttered scenes
Issue Date: 1999
metadata.ubs.publikation.typ: Preprint
metadata.ubs.publikation.source: Optics communications 161 (1999), S. 310-317
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-30085
http://elib.uni-stuttgart.de/handle/11682/4112
http://dx.doi.org/10.18419/opus-4095
Abstract: An iterative correlation technique with digital image processing in the feedback loop for the detection of small objects in cluttered scenes is proposed. A scanning aperture is combined with the method in order to improve the immunity against noise and clutter. Multiple reference objects or different views of one object are processed in parallel. We demonstrate the method by detecting a noisy and distorted face in a crowd with a nonlinear joint transform correlator.
Iterative Korrelation zur Mustererkennung von Objekten in komplexen Szenen
Appears in Collections:07 Fakultät Konstruktions-, Produktions- und Fahrzeugtechnik

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