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Fusion of combined stereo and spectral series for obtaining 3D information

: Gheta, I.; Mathias, M.; Heizmann, M.; Beyerer, J.

Postprint urn:nbn:de:0011-n-791894 (1.3 MByte PDF)
MD5 Fingerprint: 38521ccd2cf836c88da9c874a0155b5a
Copyright 2008 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Created on: 28.8.2009

Dasarathy, B.V. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Multisensor, multisource information fusion: Architectures, algorithms, and applications 2008 : 18 - 20 March 2008, Orlando, Florida, USA
Bellingham, WA: SPIE, 2008 (Proceedings of SPIE 6974)
ISBN: 978-0-8194-7165-9
Paper 697406
Conference "Multisensor, Multisource Information Fusion - Architectures, Algorithms, and Applications" <2008, Orlando/Fla.>
Conference Paper, Electronic Publication
Fraunhofer IITB ( IOSB) ()

This contribution presents a fusion method for combined stereo and spectral series gained with a camera array with the main purpose of obtaining 3D information. In order to register the images, regions are used as invariant elements with respect to varying gray values. The approach uses their characteristics like size, position and shape for registration. The regions are identified employing the watershed transformation. The fusion problem is modeled with energy functionals that are to be optimized. Using the implemented algorithm, several scenes have been reconstructed. The experimental results show that the proposed method delivers reliable and accurate dense depth maps.