Accelerated volume rendering using homogeneous region encoding

Freund,; Sloan,

doi:10.1109/visual.1997.663880

Cited by 11 publications

(10 citation statements)

References 8 publications

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“…Once a voxel with a certain density and step length is reached, color and opacity of the whole segment is accumulated, and the appropriate length is skipped. A similar Skip Field technique [40] enables higher acceleration rates by trading quality for speed. The gradient base error metrics [33] are used to identify the homogeneous regions.…”

Section: Accelerated Ray-tracing Of Volumetric Datamentioning

confidence: 99%

3D distance fields: a survey of techniques and applications

Jones

Bærentzen

Šrámek³

2006

IEEE Trans. Visual. Comput. Graphics

330

195

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Abstract-A distance field is a representation where, at each point within the field, we know the distance from that point to the closest point on any object within the domain. In addition to distance, other properties may be derived from the distance field, such as the direction to the surface, and when the distance field is signed, we may also determine if the point is internal or external to objects within the domain. The distance field has been found to be a useful construction within the areas of computer vision, physics, and computer graphics. This paper serves as an exposition of methods for the production of distance fields, and a review of alternative representations and applications of distance fields. In the course of this paper, we present various methods from all three of the above areas, and we answer pertinent questions such as How accurate are these methods compared to each other? How simple are they to implement?, and What is the complexity and runtime of such methods?

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Section: Accelerated Ray-tracing Of Volumetric Datamentioning

confidence: 99%

3D distance fields: a survey of techniques and applications

Jones

Bærentzen

Šrámek³

2006

IEEE Trans. Visual. Comput. Graphics

330

195

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“…Besides CPUbased libraries [Parker et al 1999;Wald et al 2007], most recent GPU approaches reach remarkable frame rates for low-to mediumcomplexity scenes [Seiler et al 2008;Parker et al 2010] in full quality. However, screen filling scenes or scenes with high complexity are still too slow for hard real-time constraints.Furthermore, rendering algorithms that aim at achieving real-time performance for the full-quality ray-casting of volume data use empty-space skipping [Li et al 2003], iso-surface ray-casting [Wald et al 2005;Wang and JaJa 2008], ray pre-integration [Engel et al 2001], homogeneous region encoding [Freund and Sloan 1997] and many kinds of direct GPU implementations [Fernando 2004, Chapter 39].…”

Section: Interactive Ray-based Renderingmentioning

confidence: 99%

Ray prioritization using stylization and visual saliency

Steinberger

Kainz

Hauswiesner

et al. 2012

Computers & Graphics

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Figure 1: Four different scenarios rendered with a conventional ray-based rendering engine and with the presented adaptive approach in a 1024 × 768 viewport. (a) shows the areas in which the rays are fully computed (left) and the resulting reconstruction by our algorithm (right). (b) shows how our approach can boost the frame rate while preserving the quality level. Our algorithm can also be applied to ray-tracing scenes with complex materials (c). Priority sorting of the expected visual quality of a pixel allows us to guarantee frame rates for every type of ray-based environment while maintaining a visually appealing result (d). Selected non-obvious artifacts, which are introduced by using our method for guaranteed frame rates, are marked with small arrows in (c) and (d). AbstractThis paper presents a new method to control graceful scene degradation in complex ray-based rendering environments. It proposes to constrain the image sampling density with object features, which are known to support the comprehension of the three-dimensional shape. The presented method uses Non-Photorealistic Rendering (NPR) techniques to extract features such as silhouettes, suggestive contours, suggestive highlights, ridges and valleys. To map different feature types to sampling densities, we also present an evaluation of the features impact on the resulting image quality. To reconstruct the image from sparse sampling data, we use linear interpolation on an adaptively aligned fractal pattern. With this technique, we are able to present an algorithm that guarantees a desired minimal frame rate without much loss of image quality. Our scheduling algorithm maximizes the use of each given time slice by rendering features in order of their corresponding importance values until a time constraint is reached. We demonstrate how our method can be used to boost and guarantee the rendering time in complex raybased environments consisting of geometric as well as volumetric data.

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“…Volumetric imaging provides 3-D displays with a continuum of surface and image intensity data [71][72][73][74][75][76][77][78][79][80]. The snapshots of the cross sections of these volumetric images are developed as a basis for the computation of the light intensity of the pixels constituting the snapshot.…”

Section: Three-dimensional Image Representationmentioning

confidence: 99%

Recent development on computer aided tissue engineering — a review

Sun¹,

Lal²

2002

Computer Methods and Programs in Biomedicine

331

164

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The utilization of computer-aided technologies in tissue engineering has evolved in the development of a new field of computer-aided tissue engineering (CATE). This article reviews recent development and application of enabling computer technology, imaging technology, computer-aided design and computer-aided manufacturing (CAD and CAM), and rapid prototyping (RP) technology in tissue engineering, particularly, in computer-aided tissue anatomical modeling, three-dimensional (3-D) anatomy visualization and 3-D reconstruction, CAD-based anatomical modeling, computer-aided tissue classification, computer-aided tissue implantation and prototype modeling assisted surgical planning and reconstruction.

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Accelerated volume rendering using homogeneous region encoding

Cited by 11 publications

References 8 publications

3D distance fields: a survey of techniques and applications

3D distance fields: a survey of techniques and applications

Ray prioritization using stylization and visual saliency

Recent development on computer aided tissue engineering — a review

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