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Volume 15, Number 2 (June, 2007), Pages 123-130 doi:10.2498/cit.1000820 Ahmad Almhdie Université d'Orléans, Orléans cedex 2, France Christophe Léger Université d'Orléans, Orléans cedex 2, France Maïtine Bergounioux Université d'Orléans, Orléans cedex 2, France Mohamed Deriche King Fahd university of Petroleum and Minerals, Dhahran, Saudi Arabia Roger Lédée LESI, Polytech'Orlans, Université d'Orléans, France Abstract This paper presents a Modified Variational Splines Fitting (MVSF) algorithm for surface reconstruction using thin plate splines on scattered patches or points of originally smooth surfaces. In particular, a more accurate derivation of the discrete equations for the energy corresponding to the thin plate model is introduced. The results obtained on simulated data show that the proposed algorithm converges faster than the original VSF algorithm. Additionally, we discuss an approach for choosing the algorithm’s parameters using a cross validation technique. Results obtained with the modified algorithm are compared to those using a Frequency Fourier-based 3D Harmonic modelling (3DHM) algorithm and show that the proposed algorithm gives an improved performance under the small sample size condition. The developed model has been successfully applied for real biomedical data; in particular for the reconstruction of left ventricle of human heart. Keywords sparse or scattered data, medical data, surface reconstruction, thin plate model, smooth surface Full text (PDF)
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