A collective-based adaptive symbiotic model for surface reconstruction in area-based stereo

This paper proposes a novel optimization algorithm for image-space matching and three-dimensional space analysis, using an adapted scheme of evolutionary computation that employs the concept of symbiosis in a collective of homogeneous populations. It is applied to the automatic generation of dispari...

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Vydané v:	IEEE transactions on evolutionary computation Ročník 7; číslo 5; s. 482 - 502
Hlavní autori:	Yannis Goulermas, J., Liatsis, P.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.10.2003 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithm design and analysis Algorithmics. Computability. Computer arithmetics Applied sciences Approximation Artificial intelligence Computer science; control theory; systems Decomposition Evolution Evolutionary algorithms Evolutionary computation Exact sciences and technology Image analysis Image reconstruction Mathematical analysis Mathematical models Optimization algorithms Parallel architectures Pattern recognition. Digital image processing. Computational geometry Populations Stereo image processing Stereo vision Studies Surface fitting Surface reconstruction Symbiosis Tasks Theoretical computing Symbiosis Computer vision 3D imaging Stereo image processing Evolutionary algorithm stereo correspondence problem Coevolution population collective Surface reconstruction parallel optimization surface approximation Image-space matching Automatic generation Tridimensional image Stereopsis
ISSN:	1089-778X, 1941-0026
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