Display of Surfaces from Volume Data
IEEE Computer Graphics and Applications
A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Machine Learning
Direct volume rendering with shading via three-dimensional textures
Proceedings of the 1996 symposium on Volume visualization
Generation of transfer functions with stochastic search techniques
Proceedings of the 7th conference on Visualization '96
Design galleries: a general approach to setting parameters for computer graphics and animation
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
VIS '97 Proceedings of the 8th conference on Visualization '97
Machine Learning - Special issue on learning with probabilistic representations
Semi-automatic generation of transfer functions for direct volume rendering
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Neural networks and intellect: using model-based concepts
Neural networks and intellect: using model-based concepts
Proceedings of the conference on Visualization '01
The Transfer Function Bake-Off
IEEE Computer Graphics and Applications
IEEE Intelligent Systems
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Maximum Entropy Markov Models for Information Extraction and Segmentation
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
ISpace: Interactive Volume Data Classification Techniques Using Independent Component Analysis
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Neural Networks for Volumetric MR Imaging of the Brain
NICROSP '96 Proceedings of the 1996 International Workshop on Neural Networks for Identification, Control, Robotics, and Signal/Image Processing (NICROSP '96)
RGVis: Region Growing Based Techniques for Volume Visualization
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
A Novel Interface for Higher-Dimensional Classification of Volume Data
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
A study of transfer function generation for time-varying volume data
VG'01 Proceedings of the 2001 Eurographics conference on Volume Graphics
Intelligent Feature Extraction and Tracking for Visualizing Large-Scale 4D Flow Simulations
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
CINCH: a cooperatively designed marking interface for 3D pathway selection
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Topology-Controlled Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Machine Learning to Boost the Next Generation of Visualization Technology
IEEE Computer Graphics and Applications
Topological Landscapes: A Terrain Metaphor for Scientific Data
IEEE Transactions on Visualization and Computer Graphics
Segmentation of Three-dimensional Retinal Image Data
IEEE Transactions on Visualization and Computer Graphics
Volume visualization and exploration through flexible transfer function design
Computers and Graphics
Volume visualization and exploration through flexible transfer function design
Computers and Graphics
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Tagged volume rendering of the heart
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Parallel mean shift for interactive volume segmentation
MLMI'10 Proceedings of the First international conference on Machine learning in medical imaging
iVolBrush: an intelligent interactive tool for efficient volume selection and editing
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Interactive segmentation of 3D images using a region adjacency graph representation
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
General adaptive transfer functions design for volume rendering by using neural networks
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Layout of multiple views for volume visualization: a user study
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Fusing features in direct volume rendered images
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Technical Section: Semantics by analogy for illustrative volume visualization
Computers and Graphics
Design of multi-dimensional transfer functions using dimensional reduction
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
Stroke-based transfer function design
SPBG'08 Proceedings of the Fifth Eurographics / IEEE VGTC conference on Point-Based Graphics
Palette-style volume visualization
VG'07 Proceedings of the Sixth Eurographics / Ieee VGTC conference on Volume Graphics
Fast volumetric data exploration with importance-based accumulated transparency modulation
VG'10 Proceedings of the 8th IEEE/EG international conference on Volume Graphics
Multi-dimensional reduction and transfer function design using parallel coordinates
VG'10 Proceedings of the 8th IEEE/EG international conference on Volume Graphics
Interaction-dependent semantics for illustrative volume rendering
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Probexplorer: uncertainty-guided exploration and editing of probabilistic medical image segmentation
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Instant volume visualization using maximum intensity difference accumulation
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
Context-aware volume modeling of skeletal muscles
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
Visual recommendations for network navigation
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
CVM'12 Proceedings of the First international conference on Computational Visual Media
The Visual Computer: International Journal of Computer Graphics
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In volume data visualization, the classification step is used to determine voxel visibility and is usually carried out through the interactive editing of a transfer function that defines a mapping between voxel value and color/opacity. This approach is limited by the difficulties in working effectively in the transfer function space beyond two dimensions. We present a new approach to the volume classification problem which couples machine learning and a painting metaphor to allow more sophisticated classification in an intuitive manner. The user works in the volume data space by directly painting on sample slices of the volume and the painted voxels are used in an iterative training process. The trained system can then classify the entire volume. Both classification and rendering can be hardware accelerated, providing immediate visual feedback as painting progresses. Such an intelligent system approach enables the user to perform classification in a much higher dimensional space without explicitly specifying the mapping for every dimension used. Furthermore, the trained system for one data set may be reused to classify other data sets with similar characteristics.