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Proceedings Paper

Fusion of combined stereo and spectral series for obtaining 3D information
Author(s): Ioana Gheta; Markus Mathias; Michael Heizmann; Jürgen Beyerer
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Paper Abstract

This contribution presents a fusion method for spectral series with the main purpose of obtaining 3D information. The image series to be fused are combined stereo and spectral series gained with a camera array. Therefore, in order to register them, features that are invariant with respect to the varying gray values in the spectral images are extracted. The proposed approach is region based and uses characteristics like size, position and shape for registration. The regions are identified using the watershed transformation. The fusion problem is modeled using energy functionals that are to be optimized. They take into consideration the size, position, shape and correlation of the regions. Using the implemented algorithm, several scenes have been reconstructed. The experimental results show that the proposed method delivers reliable and accurate dense depth maps of combined stereo and spectral series.

Paper Details

Date Published: 17 March 2008
PDF: 10 pages
Proc. SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 697406 (17 March 2008); doi: 10.1117/12.778357
Show Author Affiliations
Ioana Gheta, Univ. Karlsruhe (Germany)
Markus Mathias, Univ. Karlsruhe (Germany)
Michael Heizmann, Fraunhofer-Institut für Informations- und Datenverarbeitung IITB (Germany)
Jürgen Beyerer, Univ. Karlsruhe (Germany)
Fraunhofer-Institut für Informations- und Datenverarbeitung IITB (Germany)


Published in SPIE Proceedings Vol. 6974:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008
Belur V. Dasarathy, Editor(s)

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