GPU-Based Cell Projection for Interactive Volume Rendering

Marroquim, Ricardo; Maximo, André; Farias, Ricardo; Esperança, Cláudio

doi:10.1109/sibgrapi.2006.22

Cited by 13 publications

(10 citation statements)

References 36 publications

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“…Cell projection is a simple and efficient method widely used for direct volume rendering of irregular meshes [WMFC02, KQE04, SCT06, MMFE06, MMFE07, MMFE08]. One of the most popular cell‐projection technique is the Projected Tetrahedra (PT) algorithm introduced by Shirley and Tuchman [ST90].…”

Section: Related Workmentioning

confidence: 99%

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Hardware‐Assisted Projected Tetrahedra

Maximo

Marroquim

Farias

2010

Computer Graphics Forum

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We present a flexible and highly efficient hardware-assisted volume renderer grounded on the original Projected Tetrahedra (PT) algorithm. Unlike recent similar approaches, our method is exclusively based on the rasterization of simple geometric primitives and takes full advantage of graphics hardware. Both vertex and geometry shaders are used to compute the tetrahedral projection, while the volume ray integral is evaluated in a fragment shader; hence, volume rendering is performed entirely on the GPU within a single pass through the pipeline. We apply a CUDA-based visibility ordering achieving rendering and sorting performance of over 6 M Tet/s for unstructured datasets. Furthermore, as each tetrahedron is processed independently, we employ a data-parallel solution which is neither bound by GPU memory size nor does it rely on auxiliary volume information. In addition, iso-surfaces can be readily extracted during the rendering process, and time-varying data are handled without extra burden.

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Section: Related Workmentioning

confidence: 99%

“…Marroquim et al . [MMFE06,MMFE08] further improved the GATOR method by removing the redundancy of their basis graph and adding a better approximation of the final color. Their algorithm, called Projected Tetrahedra with Partial Pre‐Integration (PTINT), relies on a two‐pass GPU approach.…”

Section: Related Workmentioning

confidence: 99%

Hardware‐Assisted Projected Tetrahedra

Maximo

Marroquim

Farias

2010

Computer Graphics Forum

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“…In this scope, there are some software implementations, e.g., [10] and [4], that provide flexibility and easy parallelization. The GPU implementations of projection algorithms, however, are more popular [16,9].…”

Section: Related Workmentioning

confidence: 99%

Memory-Aware and Efficient Ray-Casting Algorithm

Domingues¹,

Maximo²,

Bentes³

et al. 2007

XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)

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Ray-casting implementations require that the connectivity between the cells of the dataset to be explicitly computed and kept in memory. This constitutes a huge obstacle for obtaining real-time rendering for very large models. In this paper, we address this problem by introducing a new implementation of the ray-casting algorithm for irregular datasets. Our implementation optimizes the memory usage of past implementations by exploring ray coherence. The idea is to keep in main memory the information of the faces traversed by the ray cast through every pixel under the projection of a visible face. Our results show that exploring pixel coherence reduces considerably the memory usage, while keeping the performance of our algorithm competitive with the fastest previous ones.

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“…Many methods have been developed to accelerate the projection of mesh elements for use in both iso-surface and volume rendering [19,24]. The optimization of the projection, or splatting operator, has since been the intensely studied [15].…”

Section: Previous Workmentioning

confidence: 99%

Hardware-Assisted Point-Based Volume Rendering of Tetrahedral Meshes

Toledo

Wang

Lévy

2007

XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)

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Figure 1. Our novel point-based volume rendering technique is faster than the current state of the art while still generating high quality images. Left to right: baseline image rendered at full quality; our method with unshaped footprints, circular footprints and ellipsoidal footprints, respectively. The lower half (our method) shows the difference to the baseline exact image. Notice the increasing level of fidelity. AbstractUnstructured volume grids are ubiquitous in scientific computing, and have received substantial interest from the scientific visualization community. In this paper, we take a point-based approach to rendering unstructured grids. In particular, we present a novel method of approximating these irregular elements with point-based primitives amenable to existing hardware acceleration techniques. To improve interactivity to large datasets, we have adapted a level-of-detail strategy. We use a well-known quantitative metric to analyze the image quality achieved by the final rendering.

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GPU-Based Cell Projection for Interactive Volume Rendering

Abstract: We present a practical approach for implementing the Projected Tetrahedra (PT)

Cited by 13 publications

References 36 publications

Hardware‐Assisted Projected Tetrahedra

Hardware‐Assisted Projected Tetrahedra

Memory-Aware and Efficient Ray-Casting Algorithm

Hardware-Assisted Point-Based Volume Rendering of Tetrahedral Meshes

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