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Surface and normal ensembles for surface reconstruction
Computer-Aided Design, 2007The majority of the existing techniques for surface reconstruction and the closely related problem of normal reconstruction are deterministic. Their main advantages are the speed and, given a reasonably good initial input, the high quality of the reconstructed surfaces.
Mincheol Yoon +4 more
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Surface reconstruction in parallel
[1992] Proceedings of the Fourth IEEE Symposium on Parallel and Distributed Processing, 2003By exploiting the structure of a directed toroidal graph, the authors have developed a parallel solution to find the shortest path. A parallel dynamic programming solution to finding the minimum cost path is presented. First the authors map the toroidal graph to a planar graph, whose structure is exploited to form a parallel algorithm suitable for a ...
Sunjay E. Talele +2 more
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Reconstruction of Surfaces of Revolution
First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06), 2006In the process of reconstruction of 3D textured models of revolution from images, the precise 3D shape of the revolution must be obtained in advance. This paper addresses the problem of recovering the 3D shape of revolution by symmetry property of revolution.
Shunyi Zheng, Ling Yang
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Augmenting Surface Reconstructions
2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), 2016The reconstruction of a scene is a fundamental task in many AR applications. Only a dense and complete surface representation enables realistic AR interactions, like occlusions and collisions. The reconstruction of arbitrary scenes is an important issue and many approaches have already been proposed.
Anna Katharina Hebborn +2 more
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On stochastic methods for surface reconstruction
The Visual Computer, 2007In this article, we present and discuss three statistical methods for surface reconstruction. A typical input to a surface reconstruction technique consists of a large set of points that has been sampled from a smooth surface and contains un- certain data in the form of noise and outliers. We first present a method that filters out uncertain and redun-
Waqar Saleem +4 more
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Au (100) Surface Reconstruction
Physical Review Letters, 1986We study the structure of the reconstructed Au (100) surface, using a phenomenological Hamiltonian, including a many-body force term (the "glue"), carefully optimized to account for a vast variety of properties of solid and liquid gold. The optimal atomic configuration of (100) slabs is obtained by a molecular-dynamics strategy.
ERCOLESSI, Furio +2 more
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Surface Reconstruction - An Introduction
Scientific Visualization Conference (dagstuhl '97), 1997The goal of surface reconstruction is to find a surface from a given finite set of geometric sample values. In many applications, the sample values are points. But other types of samples, like curves occurring e.g. in tactile sampling by an adapted milling machine, or volume densities occurring for instance in X-ray based computer tomography, are also ...
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Detecting undersampling in surface reconstruction
Proceedings of the seventeenth annual symposium on Computational geometry, 2001Current surface reconstruction algorithms perform satisfactorily on we ll-sampled, smooth surfaces without boundaries. However, these algorithms face difficulty with undersampling. Cases of undersampling are prevalent in real data since often they sample a part of the boundary of an object, or are derived from a surface with high curvature or ...
Tamal K. Dey, Joachim Giesen
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Parallel Surface Reconstruction
2002The task of surface reconstruction is to find a mathematical representation of a surface which is given only by a set of discrete sampling points. The mathematical description in the computer allows to save or transfer the geometric data via internet, to manipulate (e.g.
Klaus Weinert +2 more
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Uncalibrated reconstruction of curved surfaces
Image and Vision Computing, 1999In this article, we show that even if the camera is uncalibrated and its translational motion is unknown, curved surfaces can be reconstructed from their apparent contours up to a 3D affine ambiguity. Further, we show that even if the reconstruction is non-metric (non-Euclidean), we can still extract useful information from the reconstruction for many ...
Jun Sato, Roberto Cipolla
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