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Ellipse-based principal component analysis for self-intersecting curve reconstruction from noisy point sets
(SPRINGER, 2011-03-01)
Surface reconstruction from cross cuts usually requires curve reconstruction from planar noisy point samples. The output curves must form a possibly disconnected 1-manifold for the surface reconstruction to proceed. This ...
Ellipse-based principal component analysis for self-intersecting curve reconstruction from noisy point sets
(SPRINGER, 2011-03-01)
Surface reconstruction from cross cuts usually requires curve reconstruction from planar noisy point samples. The output curves must form a possibly disconnected 1-manifold for the surface reconstruction to proceed. This ...
Ellipse-based Principal Component Analysis for Self-intersecting Curve Reconstruction from Noisy Point Sets
(Springer Berlin Heidelberg, 2011)
Surface reconstruction from cross cuts usually requires curve reconstruction from planar noisy point samples -- The output curves must form a possibly disconnected 1manifold for the surface reconstruction to proceed -- ...
Erratum: Ellipse-based principal component analysis for self-intersecting curve reconstruction from noisy point sets (Visual Computer DOI: 10.1007/s00371-010-0527-x)
(SPRINGER, 2011-01-01)
[No abstract available]
Erratum: Ellipse-based principal component analysis for self-intersecting curve reconstruction from noisy point sets (Visual Computer DOI: 10.1007/s00371-010-0527-x)
(SPRINGER, 2011-01-01)
[No abstract available]
Principal component and Voronoi skeleton alternatives for curve reconstruction from noisy point sets
(Taylor & Francis, 2007-10)
Surface reconstruction from noisy point samples must take into consideration the stochastic nature of the sample -- In other words, geometric algorithms reconstructing the surface or curve should not insist in following ...
Principal component and Voronoi skeleton alternatives for curve reconstruction from noisy point sets
(Taylor and Francis Ltd., 2007-01-01)
Surface reconstruction from noisy point samples must take into consideration the stochastic nature of the sample. In other words, geometric algorithms reconstructing the surface or curve should not insist on matching each ...