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| Creator | Title | Description | Subject | Date | ||
|---|---|---|---|---|---|---|
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Hansen, Charles D. | Binary-swap and shear-warp volume renderer on the T3D | Large parallel machines give today's scientists the ability to compute very large simulations which may generate equally large data. Not only does having visualization tools on the parallel system allow the scientist to take advantage of the large memory to visualize the data, the processing power a... | Volume rendering; Binary-swap | 1995 |
| 2 |
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Hansen, Charles D. | Binary-swap volumetric rendering on the T3D | This paper presents a data distributed parallel raytraced volume rendering algorithm and its implementation on the CRI T3D. This algorithm distributes the data and the computational load to individual processing units to achieve fast and high-quality rendering of high-resolution data. The volume dat... | Volume rendering; Binary-swap; Ray tracing; Parallel rendering | 1995 |
| 3 |
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Kniss, Joe; Ikits, Milan; Lefohn, Aaron; Hansen, Charles D. | Closed-form approximations to the volume rendering integral with Gaussian transfer functions | In direct volume rendering, transfer functions map data points to optical properties such as color and opacity. We have found transfer functions based on the Gaussian primitive to be particularly useful for multivariate volumes, because they are simple and rely on a limited number of free paramet... | Volume rendering | 2003-07-25 |
| 4 |
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Hansen, Charles D. | Cluster-based interactive volume rendering with Simian | Commodity-based computer clusters offer a cost-effective alternative to traditional largescale, tightly coupled computers as a means to provide high-performance computational and visualization services. The Center for the Simulation of Accidental Fires and Explosions (C-SAFE) at the University of... | Volume rendering; Simian | 2003-09-03 |
| 5 |
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Johnson, Christopher R.; Parker, Steven G.; Whitaker, Ross T.; Hansen, Charles D. | Computational field visualization | Today, scientists, engineers, and medical researchers routinely use computers to simulate complex physical phenomena. Such simulations present new challenges for computational scientists, including the need to effectively analyze and visualize complex three-dimensional data. As simulations become mo... | Volume rendering; Isosurface extraction; Ray tracing; Multi-field visualizations | 2001 |
| 6 |
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Parker, Steven G.; Hansen, Charles D.; Johnson, Christopher R. | Computational steering and the SCIRun integrated problem solving environment | SCIRun is a problem solving environment that allows the interactive construction, debugging, and steering of large-scale scientific computations. We review related systems and introduce a taxonomy that explores different computational steering solutions. Considering these approaches, we discuss why ... | Computational steering; Problem solving environment; SCIRun; Volume rendering | 1997 |
| 7 |
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Hansen, Charles D. | Constrained inverse volume rendering for planetary nebulae | Determining the three-dimensional structure of distant astronomical objects is a challenging task, given that terrestrial observations provide only one viewpoint. For this task, bipolar planetary nebulae are interesting objects of study because of their pronounced axial symmetry due to fundamental p... | Volume rendering; Axial symmetry | 2004 |
| 8 |
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Hansen, Charles D. | Data distributed, parallel algorithm for ray-traced volume rendering | This paper presents a divide-and-conquer ray-traced volume rendering algorithm and a parallel image compositing method, along with their implementation and performance on the connection Machine CM-5, and networked workstations. This algorithm distributes both the data and the computations to individ... | Volume rendering; Ray tracing; ; Computer algorithms; Scientific visualization; Network computing; Massively parallel processing | 1993 |
| 9 |
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Hansen, Charles D. | Data distributed, parallel algorithm for ray-traced volume rendering | This paper presents a divide-and-conquer ray-traced volume rendering algorithm and a parallel image compositing method, along with their implementation and performance on the Connection Machine CM-5, and networked workstations. This algorithm distributes both the data and the computations to individ... | Volume rendering; Ray tracing; ; Computer algorithms; Scientific visualization; Network computing; Massively parallel processing | 1993 |
| 10 |
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Parker, Steven G.; Hansen, Charles D. | Distributed interactive ray tracing for large volume visualization | We have constructed a distributed parallel ray tracing system that interactively produces isosurface renderings from large data sets on a cluster of commodity PCs. The program was derived from the SCI Institute's interactive ray tracer (*-Ray), which utilizes small to large shared memory platforms, ... | Ray tracing; Volume rendering; Large data; Cluster computing; Distributed shared memory | 2003 |
| 11 |
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Hansen, Charles D. | Fast stereoscopic images with ray-traced volume rendering | One of the drawbacks of standard volume rendering techniques is that it is often difficult to comprehend the three-dimensional structure of the volume from a single frame; this is especially true in cases where there is no solid surface. Generally, several frames must be generated and viewed sequent... | Volume rendering; Ray tracing; Stereoscopic images; Reprojection | 1994 |
| 12 |
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Hansen, Charles D. | Gaussian transfer functions for multi-field volume visualization | Volume rendering is a flexible technique for visualizing dense 3D volumetric datasets. A central element of volume rendering is the conversion between data values and observable quantities such as color and opacity. This process is usually realized through the use of transfer functions that are prec... | Volume rendering; Transfer functions; Volume visualization | 2003 |
| 13 |
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Hansen, Charles D. | Interactive texture-based volume rendering for large data sets | Visualization is an integral part of scientific computation and simulation. State-of-the-art simulations of physical systems can generate terabytes to petabytes of time-varying data where a single time step can contain more than a gigabyte of data per variable. As memory sizes continue to increase, ... | Parallel rendering; Volume rendering; TRex | 2001 |
| 14 |
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Hansen, Charles D. | Interactive translucent volume rendering and procedural modeling | Direct volume rendering is a commonly used technique in visualization applications. Many of these applications require sophisticated shading models to capture subtle lighting effects and characteristics of volume metric data and materials. Many common objects and natural phenomena exhibit visual qua... | Volume rendering; Volume visualization; Direct volume rendering; Multidimensional transfer functions; Direct manipulation widgets; Graphics hardware | 2002 |
| 15 |
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Hansen, Charles D.; Chien, Chi-Bin | Interactive visualization tool for multi-channel confocal microscopy data in neurobiology research | Confocal microscopy is widely used in neurobiology for studying the three-dimensional structure of the nervous system. Confocal image data are often multi-channel, with each channel resulting from a different fluorescent dye or fluorescent protein; one channel may have dense data, while another has ... | Volume rendering; Zebrafish | 2009-11 |
| 16 |
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Hansen, Charles D. | Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets | Most direct volume renderings produced today employ onedimensional transfer functions, which assign color and opacity to the volume based solely on the single scalar quantity which comprises the dataset. Though they have not received widespread attention, multi-dimensional transfer functions are a v... | Volume rendering; Volume visualization; Direct volume rendering; Multidimensional transfer functions; Direct manipulation widgets; Graphics hardware | 2001 |
| 17 |
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Hansen, Charles D. | Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets | Most direct volume renderings produced today employ one-dimensional transfer functions, which assign color and opacity to the volume based solely on the single scalar quantity which comprises the dataset. Though they have not received widespread attention, multi-dimensional transfer functions are a ... | Volume rendering; Volume visualization; Direct volume rendering; Multidimensional transfer functions; Direct manipulation widgets; Graphics hardware | 2001 |
| 18 |
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Parker, Steven G. | Massively parallel software rendering for visualizing large-scale data sets | For some time, researchers have done production visualization almost exclusively using high-end graphics workstations. They routinely archived and analyzed the outputs of simulations running on massively parallel supercomputers. Generally, a feature extraction step and a geometric modeling step t... | Parallel rendering; Volume rendering; Ray tracing; Isosurfacing | 2001 |
| 19 |
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Hansen, Charles D. | Non-photorealistic volume rendering using stippling techniques | Simulating hand-drawn illustration techniques can succinctly express information in a manner that is communicative and informative. We present a framework for an interactive direct volume illustration system that simulates traditional stipple drawing. By combining the principles of artistic and sci... | Volume rendering; Non-photorealistic rendering; Scientific visualization; Medical imaging | 2002 |
| 20 |
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Hansen, Charles D. | Scout: a hardware-accelerated system for quantitatively driven visualization and analysis | Quantitative techniques for visualization are critical to the successful analysis of both acquired and simulated scientific data. Many visualization techniques rely on indirect mappings, such as transfer functions, to produce the final imagery. In many situations, it is preferable and more powerful ... | Visualization systems; Hardware acceleration; Volume rendering; Multivariate visualization | 2004 |
| 21 |
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Hansen, Charles D. | Visually accurate multi-field weather visualization | Weather visualization is a difficult problem because it comprises volumetric multi-field data and traditional surface-based approaches obscure details of the complex three-dimensional structure of cloud dynamics. Therefore, visually accurate volumetric multi-field visualization of storm scale and cl... | Weather visualization; Multifield visualization; Volume rendering | 2003 |
| 22 |
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Hansen, Charles D. | Volume rendering multivariate data to visualize meteorological simulations: a case study | High resolution computational weather models are becoming increasing complex. However, the analysis of these models has not benefited from recent advancements in volume visualization. This case study applies the ideas and techniques from multi-dimensional transfer function based volume rendering to ... | Volume rendering; Direct volume rendering; Isosurfaces; Ray casting; Ray differentials; Transfer function; Preintegration; View dependent | 2002 |
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