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"title": "Strategies for Interactive Exploration of 3D Flow Using Evenly-Spaced Illuminated Streamlines",
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"title": "Strategies for Interactive Exploration of 3D Flow Using Evenly-Spaced Illuminated Streamlines",
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"abstract": "This paper presents several strategies to\r\ninteractively explore 3D flow. Based on a fast\r\nilluminated streamlines algorithm, standard graphics\r\nhardware is sufficient to gain interactive rendering\r\nrates. Our approach does not require the user to\r\nhave any prior knowledge of flow features. After the\r\nstreamlines are computed in a short preprocessing\r\ntime, the user can interactively change appearance\r\nand density of the streamlines to further explore the\r\nflow. Most important flow features like velocity or\r\npressure not only can be mapped to all available\r\nstreamline appearance properties like streamline\r\nwidth, material, opacity, but also to streamline\r\ndensity. To improve spatial perception of the 3D\r\nflow we apply techniques based on animation, depth\r\ncueing, and halos along a streamline if it is crossed\r\nby another streamline in the foreground. Finally, we\r\nmake intense use of focus+context methods like magic\r\nvolumes, region of interest driven streamline\r\nplacing, and spotlights to solve the occlusion\r\n problem.",
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"date": "2003",
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"id": "Kanitsar-2003-Dem",
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"title": "Demonstration of different segmentation and visualization techniques by means of a complex real world object exemplified by a Christmas tree",
"date": "2003",
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"booktitle": "European Congress of Radiology",
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"id": "Theussl-2002-RSH",
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"title": "Reconstruction Schemes for High Quality Raycasting of the Body-Centered Cubic Grid",
"date": "2002-12",
"abstract": "The body-centered cubic (BCC) grid has received attention\r\nin the volume visualization community recently due to its\r\nability to represent the same data with almost 30\\% fewer\r\nsamples as compared to the Cartesian cubic (CC) grid.\r\nIn this paper we present several resampling strategies for\r\nraycasting BCC grids. These strategies range from 2D\r\ninterpolation in planes to piece-wise linear (barycentric)\r\ninterpolation in a tetrahedral decomposition of the grid\r\nto trilinear and sheared trilinear interpolation. We compare\r\nthem to raycasting with comparable resampling techniques in the\r\ncommonly used CC grid in terms of computational complexity and\r\n visual quality.",
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"title": "Fast and Flexible High-Quality Texture Filtering With Tiled High-Resolution Filters",
"date": "2002-11",
"abstract": "Current graphics hardware offers only very limited\r\nsupport for convolution operations, which is primarily\r\nintended for image processing. The input and\r\noutput sample grids have to coincide, making it impossible\r\nto use these features for more general filtering\r\ntasks such as image or texture resampling. Furthermore,\r\nmost hardware employs linear interpolation\r\nfor texture reconstruction purposes, incurring\r\nnoticeable artifacts. Higher-order interpolation via\r\ngeneral convolution is able to remove most of these\r\nartifacts. Real-time applications currently do not\r\nconsider higher-order filtering due to lack of hardware\r\nsupport. We present algorithms for extremely\r\nfast convolution on graphics hardware. This framework\r\ncan be used for general convolution tasks,\r\nbut is especially suited to substituting the native bilinear\r\nor tri-linear interpolation currently used for\r\ntexture magnification, while still achieving frame\r\nrates of up to 100 frames per second for full screen\r\nfiltering with bi-cubic interpolation.",
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"title": "Christmas Tree Case Study: Computed Tomography as a Tool for Mastering Complex Real World Objects with Applications in Computer Graphics",
"date": "2002-03",
"abstract": "We report on using computed tomography (CT) as a model acquisition\ntool for complex objects in computer graphics. Unlike other modeling\nand scanning techniques the complexity of the object is irrelevant in\nCT, which naturally enables to model objects with, for example,\nconcavities, holes, twists or fine surface details. Once the data is\nscanned, one can apply post-processing techniques aimed at its further\nenhancement, modification or presentation. For demonstration purposes\nwe chose to scan a Christmas tree which exhibits high complexity which\nis difficult or even impossible to handle with other\ntechniques. However, care has to be taken to achieve good scanning\nresults with CT. Further, we illustrate the post-processing by means\nof data segmentation and photorealistic as well as non-photorealistic\n\t\t surface and volume rendering techniques.",
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"title": "Smart surface interrogation for advanced visualization techniques",
"date": "2002-01",
"abstract": "Highly elaborated visualization techniques that are\nbased on surfaces often are independent from the\norigin of the surface data. Nevertheless, most of the\nrecently presented advanced visualization methods\nwere developed for a specific type of surface\nalthough principally applicable to generic\nsurfaces. In this paper we discuss a unified surface\ninterrogation model which provides generic access to\nsurface properties up to degree two, i.e., surface\npoint locations, normals, and curvature properties,\n(almost) regardless of the origin of the\nsurface. Surface types and interrogation algorithms\nare compared and summarized. At the end of this paper\nwe present an object-oriented implementation of this\n\t\t model, called SMURF.",
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"title": "Reconstruction Issues in Volume Visualization",
"date": "2001-06",
"abstract": "Although volume visualization has already grown out of its infancy,\nthe most commonly used reconstruction techniques are still trilinear\ninterpolation for function reconstruction and central differences\n(most often in conjunction with trilinear interpolation) for\ngradient reconstruction. Nevertheless, quite some research in the\nlast few years was devoted to improve this situation. This paper\nsurveys the more important methods, emphasizing selected work in\nfunction and gradient reconstruction, and gives an overview over the\nrather new development of exploiting curvature properties for volume\n visualization purposes.",
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"title": "Optimal Regular Volume Sampling",
"date": "2001-04",
"abstract": "The classification of volumetric data sets as well as their\nrendering algorithms are typically based on the representation of the\nunderlying grid. Grid structures based on a Cartesian lattice are\nthe de-facto standard for regular representations of volumetric\ndata. In this paper we introduce a more general concept of regular\ngrids for the representation of volumetric data. We demonstrate that\na specific type of regular lattice - the so-called\nbody-centered cubic - is able to represent the same data set\nas a Cartesian grid to the same accuracy but with 29.3% less\nsamples. This speeds up traditional volume\nrendering algorithms by the same ratio, which we demonstrate by\nadopting a splatting implementation for these new lattices.\nWe investigate different filtering methods required for computing\nthe normals on this lattice. The lattice representation results also\nin lossless compression ratios that are better\nthan previously reported.\nAlthough other regular grid structures achieve the same sample\nefficiency, the body-centered cubic is particularly easy to use. The\nonly assumption necessary is that the underlying volume is isotropic\nand band-limited - an assumption that is valid for most practical\n data sets.",
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"note": "Proceedings of IEEE Visualization 2001, October 2001, San Diego, USA, pp. 91-98",
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"title": "Hardware Accelerated High-Quality Reconstruction of Volumetric Data on PC Consumer Hardware",
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175,
176,
226
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"title": "Mastering Windows: Improving Reconstruction",
"date": "2000-04",
"abstract": "Ideal reconstruction filters, for function or arbitrary\nderivative\nreconstruction, have to be bounded in order to be\npracticable since they are infinite in their spatial extent. This can\nbe accomplished by multiplying them with windowing functions. In this\npaper we discuss and assess the quality of commonly used windows and\nshow that most of them are unsatisfactory in terms of numerical\naccuracy. The best performing windows are Blackman, Kaiser and\nGaussian windows. The latter two are particularly useful since both\nhave a parameter to control their shape, which, on the other hand,\nrequires to find appropriate values for these parameters. We show how\nto derive optimal parameter values for Kaiser and Gaussian windows\nusing a Taylor series expansion of the convolution sum. Optimal values\nfor function and first derivative reconstruction for window widths of\n two, three, four and five are presented explicitly.",
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"title": "Smart surface interrogation for advanced visualization\ntechniques",
"date": "1999-11",
"abstract": "Highly elaborated visualization techniques that are based on\nsurfaces often are independent from the origin of the surface data.\nNevertheless, most of the recently presented advanced visualizatio\nmethods were developed\nfor a specific type of surface although principally applicable\nto generic surfaces. In this paper we discuss a unified surface\ninterrogation model which provides generic access to surface\nproperties up to degree two, i.e., surface-point locations,\nnormals, and curvature properties, regardless of the origin\nof the surface. Surface types and interrogation algorithms\nare compared and summarized. At the end of this paper we present\n an object-oriented implementation of this model, called {\\sc{}Smurf",
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"title": "The Multi-Dimensional Hartley Transform as a Basis for Volume\nRendering",
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"abstract": "The Fast Hartley Transform (FHT), a discrete version of the Hartley\nTransform (HT), has been studied in various papers and shown to be\nfaster and more convenient to implement and handle than the\ncorresponding Fast Fourier Transform (FFT). As the HT is not as\nnicely separable as the FT, a multidimensional version of the HT\nneeds to perform a final correction step to convert the result of\nseparate HTs for each dimension into the final multi-dimensional\ntransform. Although there exist algorithms for two and three\ndimensions, no generalization to arbitrary dimensions can be found\nin the literature. We demonstrate an easily comprehensible and\nefficient implementation of the fast HT and its multi-dimensional\nextension. By adapting this algorithm to volume rendering by the\nprojection-slice theorem and by the use for filter analysis in\nfrequency domain we further demonstrate the importance of the HT in\n this application area.",
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"number": "TR-186-2-99-21",
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"title": "SMURF a Smart Surface model for advanced visualization techniques",
"date": "1999",
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197,
399
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"note": "N.M. Thalmann, V. Skala (eds.),
Proceedings of WSCG'99, The 7-th International Conference in Central Europe on Computer Graphics, Visualization and Interactive Digital Media'99, February 8 - 12, 1999, Plzen, Czech Republic, Vol. I, pp. 156-164.",
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"id": "Loeffelmann-1998-SMURF",
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"title": "Smurf -- a Smart surface model\n\tfor advanced visualization techniques",
"date": "1998-10",
"abstract": "Highly elaborated visualization techniques that are based on surfaces often are independent from the origin of the surface data. For re-using advanced visualization methods for surfaces of various kind, we developed an abstract surface interrogation layer called Smurf. In this paper we discuss the steps necessary to unify multiple types of surfaces under a shared general purpose interface.",
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"url": "https://www.cg.tuwien.ac.at/research/publications/1998/Loeffelmann-1998-SMURF/",
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