The power crust

By Nina Amenta, Sunghee Choi, R. Kolluri. 2001

972 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design

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In Computational Mechanics

In Computer Graphics and Computer-Aided Design

Citations in the corpus

Automatic Reconstruction of As-Built Building Information Models from Laser-Scanned Point Clouds: A Review of Related Techniques | NIST (2010, background): “Surface-based non-parametric modeling, known as surface reconstruction, is a well studied field [1,41,57].”
Skeleton based shape matching and retrieval (2003, neutral): “For 3D objects a medial surface is computed (see [21, 9]).”
The 3D Model Acquisition Pipeline (2002, background): “Practical extensions to deal with sharp features, holes and noise are discussed in [51].”
3D Skeletons: A State‐of‐the‐Art Report (2016, background): “The validity of Voronoi poles for medial approximation was formally veriﬁed in [ACK01], by showing that for an ε -sampled C 1 manifold, poles approach the surface skeleton as ε vanishes.”
A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration (2007, background): “Combining several range images can be performed using general surface-from-point-clouds reconstruction algorithms (e.g. [15] [3] [1] [6]).”
Provable surface reconstruction from noisy samples (2004, methodology): “[17] R. K. Kolluri, J. R. Shewchuk and J. F.”
Tight cocone: a water-tight surface reconstructor (2003, background): “Here we focus on the problem of computing a piecewise linear surface that approximates the original surface from which only a set of discrete sample points are given as input.”
Feature Extraction From Point Clouds (2001, methodology): “The power crust algorithm of Amenta et al. [ 13 ] treats sharp edges and corners also in a post processing step.”
Consolidation of unorganized point clouds for surface reconstruction (2009, methodology): “to quality up-sampling and Delaunay-based surface reconstruction [Amenta et al. 2001; Dey and Giesen 2001].”
A Framework for Geometric Analysis of Vascular Structures: Application to Cerebral Aneurysms (2009, background): “for discrete surfaces relies on the concept of Voronoi diagram, defined as follows [24], [25].”