Smooth Surface Reconstruction Using Tensor Fields as Structuring Elements

dc.contributor.authorVieira, M. B.en_US
dc.contributor.authorMartins, P. P.en_US
dc.contributor.authorAraujo, A. A.en_US
dc.contributor.authorCord, M.en_US
dc.contributor.authorPhilipp-Foliguet, S.en_US
dc.date.accessioned2015-02-19T07:42:26Z
dc.date.available2015-02-19T07:42:26Z
dc.date.issued2004en_US
dc.description.abstractWe propose a new strategy to estimate surface normal information from highly noisy sparse data. Our approach is based on a tensor field morphologically adapted to infer normals. It acts as a three-dimensional structuring element of smooth surfaces. Robust orientation inference for all input elements is performed by morphological operations using the tensor field. A general normal estimator is defined by combining the inferred normals, their confidences and the tensor field. This estimator can be used to directly reconstruct the surface or give input normals to other reconstruction methods. We present qualitative and quantitative results to show the behavior of the original methods and ours. A comparative discussion of these results shows the efficiency of our propositions.en_US
dc.description.number4en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume23en_US
dc.identifier.doi10.1111/j.1467-8659.2004.00810.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages813-823en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2004.00810.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleSmooth Surface Reconstruction Using Tensor Fields as Structuring Elementsen_US
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