Surface-based matching using elastic transformations

Autor:	Maria Gabrani, Oleh J. Tretiak
Rok vydání:	1999
Předmět:	Basis function Image processing Spline (mathematics) Artificial Intelligence Signal Processing Linear algebra Radial basis function Computer Vision and Pattern Recognition Fiducial marker Thin plate spline Algorithm Software Energy functional Mathematics
Zdroj:	Pattern Recognition. 32:87-97
ISSN:	0031-3203
DOI:	10.1016/s0031-3203(98)00092-2
Popis:	We introduce a methodology for the alignment of multidimensional data, such as brain scans. The proposed approach does not require fiducial-point correspondence; correspondence of surfaces provides sufficient data for registration. We extend multidimensional interpolation theory by using a more general form of energy functional, which leads to basis functions that have different orders at zero and infinity. This allows flexibility in the design of the interpolation solution. The problem is transformed into a linear algebra problem. Two techniques for better conditioning of the system matrix are described. Experimental results on two- and three-dimensional alignment of brain data used in neurochemistry research are shown.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bc5a2391ae89b07a237beec9b453dbd2 https://doi.org/10.1016/s0031-3203(98)00092-2 Zobrazit plný text záznamu Full Text from ScienceDirect