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Proceedings Paper

Short memory fuzzy fusion image recognition schema employing spatial and Fourier descriptors
Author(s): Sotiris N. Raptis; Spyros G. Tzafestas
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Paper Abstract

Single images quite often do not bear enough information for precise interpretation due to a variety of reasons. Multiple image fusion and adequate integration recently became the state of the art in the pattern recognition field. In this paper presented here and enhanced multiple observation schema is discussed investigating improvements to the baseline fuzzy- probabilistic image fusion methodology. The first innovation introduced consists in considering only a limited but seemingly ore effective part of the uncertainty information obtained by a certain time restricting older uncertainty dependencies and alleviating computational burden that is now needed for short sequence (stored into memory) of samples. The second innovation essentially grouping them into feature-blind object hypotheses. Experiment settings include a sequence of independent views obtained by camera being moved around the investigated object.

Paper Details

Date Published: 22 March 2001
PDF: 10 pages
Proc. SPIE 4385, Sensor Fusion: Architectures, Algorithms, and Applications V, (22 March 2001); doi: 10.1117/12.421119
Show Author Affiliations
Sotiris N. Raptis, National Technical Univ. of Athens (Greece)
Spyros G. Tzafestas, National Technical Univ. of Athens (Greece)

Published in SPIE Proceedings Vol. 4385:
Sensor Fusion: Architectures, Algorithms, and Applications V
Belur V. Dasarathy, Editor(s)

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