Volumes of expression: artistic modelling and rendering of volume datasets

Treavett, S. M. F.; Chen, M.; Satherley, Richard; Jones, Mark W.

doi:10.1109/cgi.2001.934663

Cited by 7 publications

(3 citation statements)

References 35 publications

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“…Ebert and Rheingans [2000] combined nonphotorealistic rendering and volume rendering techniques to enhance important features and regions. Treavett et al [2001] implemented artistic procedures in various stages of the volume-rendering pipeline. Lum and Ma [2002] implemented a combination of NPR methods at interactive frame rates for large datasets with a parallel hardware-accelerated rendering technique.…”

Section: Related Workmentioning

confidence: 99%

Volume illustration using wang cubes

Ebert

Qiao

et al. 2007

ACM Trans. Graph.

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To create a new, flexible system for volume illustration, we have explored the use of Wang Cubes, the 3D extension of 2D Wang Tiles. We use small sets of Wang Cubes to generate a large variety of nonperiodic illustrative 3D patterns and texture, which otherwise would be too large to use in real applications. We also develop a direct volume rendering framework with the generated patterns and textures. Our framework can be used to render volume datasets effectively and a variety of rendering styles can be achieved with less storage.Specifically, we extend the nonperiodic tiling process of Wang Tiles to Wang Cubes and modify it for multipurpose tiling. We automatically generate isotropic Wang Cubes consisting of 3D patterns or textures to simulate various illustrative effects. Anisotropic Wang Cubes are generated to yield patterns by using the volume data, curvature, and gradient information. We also extend the definition of Wang Cubes into a set of different sized cubes to provide multiresolution volume rendering. Finally, we provide both coherent 3D geometry-based and texture-based rendering frameworks that can be integrated with arbitrary feature exploration methods.

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Section: Related Workmentioning

confidence: 99%

Volume illustration using wang cubes

Ebert

Qiao

et al. 2007

ACM Trans. Graph.

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“…Interrante developed a technique for using three-dimensional line integral convolution (LIC) using principal direction and curvature to effectively illustrate surfaces within a volume model [12]. Treavett et al also used illustration techniques to render surfaces within volumes [32], [33]. In both cases, the results were compelling, but the techniques are surfacebased visualization techniques, rather than direct volume rendering techniques that can show not only surfaces, but also important details of the entire volume.…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, interactive volume rendering has garnered a significant amount of attention [19] and NPR methods have been applied to obtain interactive performance while producing effective volume renderings [2], [3]. Treavett et al [33] implemented artistic procedures in various stages of the volume-rendering pipeline. Techniques such as brush strokes, control volumes, paint splatting, and others were integrated into their rendering system to produce a variety of artistic effects to convey tone, texture, and shape.…”

Section: Related Workmentioning

confidence: 99%

Illustrative interactive stipple rendering

Morris

Taylor

et al. 2003

IEEE Trans. Visual. Comput. Graphics

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Abstract-Simulating hand-drawn illustration can succinctly express information in a manner that is communicative and informative. We present a framework for an interactive direct stipple rendering of volume and surface-based objects. By combining the principles of artistic and scientific illustration, we explore several feature enhancement techniques to create effective, interactive visualizations of scientific and medical data sets. We also introduce a rendering mechanism that generates appropriate point lists at all resolutions during an automatic preprocess and modifies rendering styles through different combinations of these feature enhancements. The new system is an effective way to interactively preview large, complex volume and surface data sets in a concise, meaningful, and illustrative manner. Stippling is effective for many applications and provides a quick and efficient method to investigate both volume and surface models.

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