StretchDenoise: Parametric Curve Reconstruction with Guarantees by Separating Connectivity from Residual Uncertainty of Samples

We reconstruct a closed denoised curve from an unstructured and highly noisy 2D point cloud. Our proposed method uses a two- pass approach: Previously recovered manifold connectivity is used for ordering noisy samples along this manifold and express these as residuals in order to enable parametric d...

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Veröffentlicht in:	arXiv.org 2018-08
Hauptverfasser:	Ohrhallinger, Stefan, Wimmer, Michael
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Apexes Connectivity Error detection Ground truth Least squares Manifolds Mathematical models Noise Noise reduction Optimization Probability density functions Reconstruction Three dimensional models
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