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N-dimensional surface reconstruction from a noisy normal vector field

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3 Author(s)
Zinck, G. ; Lab. IMS, Univ. de Bordeaux, Talence, France ; Donias, M. ; Lavialle, O.

We present a method to reconstruct an implicit hypersurface of a N-dimensional vector space from a normal vector field supposed to be unreliable and noisy. Either the surface boundary or a point belonging to the surface is required. Assuming that a basis is known in which the surface is explicit, our approach consists in an accurate and noise robust global optimization technique based on a non linear partial derivative equation relied on local dip. The key point is the expression of the local dip in the new basis.

Published in:

Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European

Date of Conference:

27-31 Aug. 2012