Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Display of Surfaces from Volume Data
IEEE Computer Graphics and Applications
Illumination and color in computer generated imagery
Illumination and color in computer generated imagery
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Edge detection in multispectral images
CVGIP: Graphical Models and Image Processing
Accelerated volume rendering and tomographic reconstruction using texture mapping hardware
VVS '94 Proceedings of the 1994 symposium on Volume visualization
ACM Computing Surveys (CSUR)
Two-handed interactive stereoscopic visualization
Proceedings of the 7th conference on Visualization '96
Semi-automatic generation of transfer functions for direct volume rendering
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
Image-based transfer function design for data exploration in volume visualization
Proceedings of the conference on Visualization '98
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Grouping Volume Renderers for Enhanced Visualization in Computational Fluid Dynamics
IEEE Transactions on Visualization and Computer Graphics
The Transfer Function Bake-Off
IEEE Computer Graphics and Applications
Marching through the Visible Man
VIS '95 Proceedings of the 6th conference on Visualization '95
Geometric partial differential equations in image analysis: past, present, and future
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
Anisotropic diffusion of multivalued images with applications to color filtering
IEEE Transactions on Image Processing
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Volume rendering multivariate data to visualize meteorological simulations: a case study
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Interactive spectral volume rendering
Proceedings of the conference on Visualization '02
Multidimensional Transfer Functions for Interactive Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Multi-scale iso-surface extraction for volume visualization
VRCAI '04 Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry
Boundary surface extraction and rendering for volume datasets
Proceedings of the 2006 ACM symposium on Applied computing
Illustrative Context-Preserving Exploration of Volume Data
IEEE Transactions on Visualization and Computer Graphics
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
GVF-Based transfer functions for volume rendering
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
Visualization of segmented color volume data using GPU
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Volume rendering for high dynamic range displays
VG'05 Proceedings of the Fourth Eurographics / IEEE VGTC conference on Volume Graphics
GPU-based object-order ray-casting for large datasets
VG'05 Proceedings of the Fourth Eurographics / IEEE VGTC conference on Volume Graphics
Video visualization for snooker skill training
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
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Photographic volumes present a unique, interesting challenge for volume rendering. In photographic volumes, voxel color is predetermined, making color selection through transfer functions unnecessary. However, photographic data does not contain a clear mapping from the multivalued color values to a scalar density or opacity, making projection and compositing much more difficult than with traditional volumes. Moreover, because of the nonlinear nature of color spaces, there is no meaningful norm for the multivalued voxels. Thus, the individual color channels of photographic data must be treated as incomparable data tuples rather than as vector values. Traditional differential geometric tools, such as intensity gradients, density, and Laplacians, are distorted by the nonlinear nonorthonormal color spaces that are the domain of the voxel values. We have developed different techniques for managing these issues while directly rendering volumes from photographic data. We present and justify the normalization of color values by mapping RGB values to the CIE L^\ast u^\ast v^\ast color space. We explore and compare different opacity transfer functions that map three channel color values to opacity. We apply these many-to-one mappings to the original RGB values as well as to the voxels after conversion to L^\ast u^\ast v^\ast space. Direct rendering using transfer functions allows us to explore photographic volumes without having to commit to an a priori segmentation that might mask fine variations of interest. We empirically compare the combined effects of each of the two color spaces with our opacity transfer functions using source data from the Visible Human Project.