I.Guskov and Z.Wood, "Topological noise removal", Procs. of Graphics Interface 2001.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....computations. Furthermore, the computation times for the proposed method are quite competitive if one compares them to the end to end computation times for meshes, which can include manually establishing base meshes and or xing topological problems, which can require several hours of computation [12]. Another example of denoising by anisotropic diffusion is shown in Fig. 5. Independent Gaussian noise with standard deviation 1 was added to the original model which in this case is a 221 221 161 volume. The noise was added to the voxel values in the volume which are distances to the ....

I. Guskov and Z. J. Wood. Topological noise removal. In Graphics Interface, 2001.

....and for a range of values of L that gives compression error ratios superior to previsouly published techniques. Topological noise is a common issue in models coming from volume data; since our approach on these models would require a too small sampling step, we perform a topological noise removal [40] prior to the remeshing. Moreover, since we need to determine triangle normals from geometry, we eliminate all the degenerate faces [42] in advance; during the splitting process the normals can be inherited, so that possible new degeneracies do not cause any problem. Triangle meshes with an ....

I. Guskov and Z. Wood, "Topological noise removal", Procs. of Graphics Interface 2001.

....be lower than 3, which leads to a closure of the boundary. In other terms, reducing the vertex budget may filter some boundaries in a consistent manner with respect to the sampling process. The latter is an appealing feature for applications similar in spirit to topology filtering as described in [27]. 3.5 Discussion The samples are sitting on the triangles of the original mesh for the smooth parts of the surface, and on the edges of the feature skeleton. The present generalization of direct error diffusion over a triangle mesh does not provide a sampling with a blue noise profile spectrum ....

GUSKOV, I., AND WOOD, Z. Topological noise removal. In Proceedings, of Graphics Interface (2001), pp.19--26.

....[14] generate polygonal models from registinted range data, they remove overlaps by clipping them, utilizing a technique called mesh zippering. The meshes coming from 3D scanners and volumetric data often contain artifacts of the reconstruction process: small handles and runnels. Guskov and Wood [6] conceptualized these as topological noise, identified and eliminated them by cutting and sealing the mesh, thus reducing the genus and topological complexity of the model. Due to the industrial relevance of the problem, a lot of work has been devoted to repairing polygonal models generated by ....

I. Guskov and Z. Wood. Topological noise removal. In Graphics Interface, 2001.

....As a consequence they have less control on the optimal placement of the cuts that remove erroneous handles. Surface reconstruction: Meshes that are reconstructed from range data by volumetric methods often suffer from topological noise due to mis registrations of the scans [1] Guskov et al. [5] propose a local wave front traversal algorithm that identifies and removes the handles from the mesh. This approach differs from ours in that it removes the handles after extraction of the surface while our approach works directly on the voxel set. 2 Topology 2.1 Topological background Our ....

I. Guskov and Z. Wood. Topological noise removal. In GI 2001.

....noise, which is created by the algorithms used to extract a mesh from the point cloud. Geometric noise, due to the errors in measurement and resampling of the data at various processing stages. Topology preserving reparameterization can be thought of as removing connectivity noise; recent work [6] addresses the problem of topological noise. We focus on the geometric noise removal, assuming that the surface is already reparameterized. While our method can be potentially applied before reparameterization, it works best and is most natural for semiregular meshes. Reparameterization greatly ....

Igor Guskov and Zoe Wood. Topological noise removal.

....The first task before creating a hybrid mesh for a model with non zero genus is to find all the handles tunnels and decide were to perform the non separating cuts and cap insertions that would reduce the genus. The system finds all the non obvious tunnels in the original mesh using the approach of [16]. That procedure gives an approximate location of handles. The user has an opportunity to specify the precise loop along which a cut will be performed and specifies on which level a particular handle becomes active. The system then removes all the specified handles to obtain the mesh for which ....

....to compute the error for the finest level Buddha) Note that the original David data is contaminated with topological noise, i.e. there are numerous tiny tunnels, especially around the hair. These tunnels were automatically removed with a topological noise removal algorithm described in [16]. After this topolog ical cleanup step there are still significant stalactite like features left which are mostly located inside the model. These stalactites were removed during hybrid remeshing. Model # Vertices # Vertices Relative Computation Original Remesh L 2 error Time Buddha 544171 ....

I. Guskov and Z. Wood. Topological noise removal. In Proceedings of Graphics Interface, pages 19--26, 2001.

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GUSKOV I., WOOD Z.: Topological noise removal. In Graphic Interface, pp. 19--26. 3

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I. Guskov and Z. Wood, "Topological noise removal," in Proc. Graphics Interface, 2001, pp. 19--26.

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I. Guskov and Z. Wood, "Topological noise removal," GI 2001 proceedings, pp. 19-26, 2001.

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I. Guskov and Z. Wood. Topological noise removal. Graphics I proceedings, pages 19--26, 2001.

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GUSKOV, I., AND WOOD, Z. Topological noise removal. In Proc. Graphics Interface (2001), pp. 19--26.

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GUSKOV, I., AND WOOD, Z. Topological noise removal. In Proc. Graphics Interface (2001), pp. 19--26.

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GUSKOV, I., AND WOOD, Z. 2001. Topological noise removal. In Proceedings of Graphics Interface 2001, B. Watson and J. W. Buchanan, Eds., 19--26.

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GUSKOV, I., AND WOOD, Z. Topological noise removal. In Proc. Graphics Interface (2001), pp. 19--26.

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I. Guskov and Z. J. Wood. Topological noise removal. In Proc. Graphics Interface, pages 19--26, 2001.

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GUSKOV, I., AND WOOD, Z. 2001. Topological noise removal. In Graphics Interface, 19--20.

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I. Guskov and Z. Wood. Topological noise removal. In B. Watson and J. W. Buchanan, editors, Proceedings of Graphics Interface, pages 19--26, 2001.

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Igor Guskov and Zoe Wood. Topological noise removal. In Proc. Graphics Interface, pages 19-26, 2001.

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I. Guskov and Z. Wood. Topological noise removal. In Graphics Interface, pages 19--20, June 2001.

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I. Guskov and Z. Wood. Topological noise removal. In B. Watson and J. W. Buchanan, editors, Proceedings of Graphics Interface 2001.

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I. Guskov and Z. J. Wood. Topological noise removal. In Graphics Interface, 2001.

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I. Guskov and Z. Wood. Topological noise removal. In Graphic Interface'2001.

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