Barthold Lichtenbelt, Randy Crane, and Shaz Naqvi. Introduction to Volume Rendering. Prentice Hall, 1st edition, 1998. Home/Search Document Not in Database Summary Related Articles Check |
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Visualizing Inner Structures in Multimodal Volume Data - Manssour, Furuie.. (2002) (Correct)
....from pixel towards , with = A being the total number of samples. The volume samples are therefore denoted by 5 x . Note that some interpolation strategy should be used for samples that do not belong to the discrete volume grid (for example, trilinear interpolation [10]) Usually (e.g. 8] is implemented as an accumulation function: 394E 7 F G BDCIH J K xBDC (2) 6 LM ON is the first sample (front) that contributes for 6QPR S is the last sample (back) and function that specifies the contribution of each sample to the final pixel ....
....idea is to reduce the visibility of structures that are not interesting and enhancing those that are relevant for a given study. This basically means designing adequate transfer functions (Equation 2) to assign high transparency levels to the structures outside the ROI see Lichtenbelt et al. [10]. The design of transfer functions, however, is usually a difficult task see a discussion in [17] Since the trial and error approach is not suitable for identifying the best transfer function, automatic and semi automatic techniques are being investigated (e.g. 6] Another problem is that ....
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B. Lichtenbelt, R. Crane and S. Naqvi. Introduction to Volume Rendering. Upper Saddle River, NJ, Prentice Hall, 1998.
Architectures for Realistic Volume Imaging - Dachille (Correct)
....This portion of our work will soon appear in journal form [36] excluding the discussion on temporal antialiasing, which is still under development. 7. 1 Volume Rendering Interface Several application programming interfaces (APIs) have been proposed to standardize volume rendering interfaces [3, 16, 50, 67], although none are designed for dedicated volume rendering hardware. We developed our system around the Volume Rendering Library (VLI) distributed by Mitsubishi to support the Cube 4 VolumePro rendering board. VLI supports basic volume rendering functions and manipulation of rendering parameters, ....
B. Lichtenbelt, R. Crane, and S. Naqvi. Introduction to Volume Rendering. Prentice Hall PTR, 1998.
Plenoptic Image Editing - Seitz, Kutulakos (1998) (19 citations) (Correct)
....5.2 Rendering Voxel Models Once the illumination is set and voxel radiances are determined, a new image is generated by assigning colors (radiances) to the voxels and projecting the model to the desired viewpoint. This projection can be computed very efficiently using voxel splatting techniques [41, 42]. These techniques approximate each voxel s projection in an image by a 2D mask and use Z buffering or depth ordering techniques [3] to account for visibility. Figures 8(a) f) compare renderings of the plenoptic decomposition recovered from 21 images of a 360 degree rotation of a dinosaur toy ....
B. Lichtenbelt, R. Crane, and S. Naqvi, Introduction to Volume Rendering. Prentice-Hall, 1998.
Curvature-Based Transfer Functions for Direct Volume.. - Hladuvka, König, Gröller (2000) (2 citations) (Correct)
....which made these methods non interactive for a long time. With upcoming rendering hardware [12] however, the usefulness of these interfaces has increased and the specification problem seems to be solved. This progress made us think of other transfer function types. According to Lichtenbelt at al [7], the more general (m 2) transfer functions are those that assign opacity, color, and emittance. Other ideas to extend the range of transfer functions can be found by studying optical models [10] see also Fig. 1) Our approach attempts to extend the domain of a transfer function. As already ....
B. Lichtenbelt, R. Crane, and S. Naqvi. Introduction to Volume Rendering. Prentice Hall, 1998.
Semi-Automatic Generation of Transfer Functions for Direct.. - Kindlmann, Durkin (1998) (37 citations) (Correct)
....1 Introduction 1.1 The Task of Finding Transfer Functions Transfer functions make a volume dataset visible by assigning renderable optical properties to the numerical values which comprise the dataset. The most general transfer functions are those that assign opacity, color, and emittance [12]. Useful renderings can often be obtained, however, from transfer functions which assign just opacity, with the color and brightness derived from simulated lights which illuminate the volume according to some shading model. We use the term opacity functions to refer to this limited subset of ....
Barthold Lichtenbelt, Randy Crane, and Shaz Naqvi. Introduction to Volume Rendering, chapter 4. Prentice-Hall, New Jersey, 1998.
Interactive Display of Isosurfaces - With Global Illumination (2004) (Correct)
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Barthold Lichtenbelt, Randy Crane, and Shaz Naqvi. Introduction to Volume Rendering. Prentice Hall, 1st edition, 1998.
A Framework to Visualize and Interact with Multimodal .. - Manssour, Furuie.. (2001) (1 citation) (Correct)
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B. Lichtenbelt, R. Crane and S. Naqvi, Introduction to Volume Rendering (Prentice Hall, 1998).
An Extension of Fourier-Wavelet Volume Rendering by View.. - Westenberg, Roerdink (2001) (Correct)
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Lichtenbelt, B., R. Crane, and S. Naqvi: 1998, Introduction to Volume Rendering. Hewlett-Packard Professional Books, Prentice-Hall.
Wavelet Projections for Volume Rendering - Horbelt, Unser, Vetterli (1999) (1 citation) (Correct)
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B.Lichtenbelt, R.Crane, S.Naqvi, "Introduction to Volume Rendering", Hewlett-Packard, Prentice-Hall, 1998.
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