Contour-Based Surface Reconstruction using Implicit Curve Fitting, and Distance Field Filtering and Interpolation

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dc.contributor.authorMarker, Jeffreyen_US
dc.contributor.authorBraude, Ilyaen_US
dc.contributor.authorMuseth, Kenen_US
dc.contributor.authorBreen, Daviden_US
dc.contributor.editorRaghu Machiraju and Torsten Moelleren_US
dc.date.accessioned2014-01-29T17:50:00Z
dc.date.available2014-01-29T17:50:00Z
dc.date.issued2006en_US
dc.description.abstractThis paper presents a volumetric approach to reconstructing a smooth surface from a sparse set of paral- lel binary contours, e.g. those produced via histologic imaging. It creates a volume dataset by interpolating 2D filtered distance fields. The zero isosurface embedded in the computed volume provides the desired result. MPU implicit functions are fit to the input contours, defined as binary images, to produce smooth curves with controllable error bounds. Full 2D Euclidean distance fields are then calculated from the implicit curves. A distance-dependent Gaussian filter is applied to the distance fields to smooth their medial axis discontinuities. Monotonicity-constraining cubic splines are used to construct smooth, blending slices between the input slices. A mesh that approximates the zero isosurface is then extracted from the resulting volume. The effectiveness of the approach is demonstrated on a number of complex, multi-component contour datasets.en_US
dc.description.seriesinformationVolume Graphicsen_US
dc.identifier.isbn3-905673-41-Xen_US
dc.identifier.issn1727-8376en_US
dc.identifier.urihttps://doi.org/10.2312/VG/VG06/095-102en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computational Geometry and Object Modelingen_US
dc.titleContour-Based Surface Reconstruction using Implicit Curve Fitting, and Distance Field Filtering and Interpolationen_US
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VG06: Eurographics/IEEE VGTC Workshop on Volume Graphics 2006