1995
DOI: 10.1111/1467-8659.1440181
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Function Representation of Solids Reconstructed from Scattered Surface Points and Contours

Abstract: This paper presents a novel approach to the reconstruction of geometric models and surfaces from given sets of points using volume splines. It results in the representation of a solid by the inequality The volume spline is based on use of the Green's function for interpolation of scalar function values of a chosen "carrier" solid. Our algorithm is capable of generating highly concave and branching objects automatically. The particular case where the surface is reconstructed from cross-sections is discussed too… Show more

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Cited by 207 publications
(115 citation statements)
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References 13 publications
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“…Both point clouds acquired from the 3D scan and CT were used to reconstruct a smooth surface using Radial Basis Functions [13]. The result is shown in Fig.…”
Section: Comparative Analysis Of the Anterior Chest Wallmentioning
confidence: 99%
“…Both point clouds acquired from the 3D scan and CT were used to reconstruct a smooth surface using Radial Basis Functions [13]. The result is shown in Fig.…”
Section: Comparative Analysis Of the Anterior Chest Wallmentioning
confidence: 99%
“…However, in the case of curves the polyline is only an approximation to the smooth curve the user desires. In our system we do not create an approximate polyline, but instead fit a smooth 2D variational implicit curve [32,43] to the discrete samples. Curve normals derived from the discrete polyline are used to generate the necessary off-curve constraint points [10].…”
Section: Sketching Assistancementioning
confidence: 99%
“…Moving least square (MLS) [3][4][5][6] and radial basis function (RBF) [7][8][9][10][11][12][13][14][15] are two popular 3D implicit surface reconstruction methods.…”
Section: Introductionmentioning
confidence: 99%
“…Using this technique, an implicit surface is constructed by calculating the weights of a set of radial basis functions such they interpolate the given data points. From the pioneering work [7,8] to recent researches, such as compactly-supported RBF [9,10], fast RBF [11][12][13] and multi-scale RBF [14,15], the established algorithms can generate more and more faithful models of real objects in last twenty years, unfortunately, most of them are not feasible for the approximations of unorganized point clouds containing noise and outliers.…”
Section: Introductionmentioning
confidence: 99%