Illumination in diverse codimensions
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Anatomy-based modeling of the human musculature
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
The Transfer Function Bake-Off
IEEE Computer Graphics and Applications
Geometry-based muscle modeling for facial animation
GRIN'01 No description on Graphics interface 2001
Interactive Volume Rendering of Thin Thread Structures within Multivalued Scientific Data Sets
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive Volume Manipulation with Selective Rendering for Improved Visualization
VV '04 Proceedings of the 2004 IEEE Symposium on Volume Visualization and Graphics
Proceedings of the 2005 symposium on Interactive 3D graphics and games
An Intelligent System Approach to Higher-Dimensional Classification of Volume Data
IEEE Transactions on Visualization and Computer Graphics
Creating and Simulating Skeletal Muscle from the Visible Human Data Set
IEEE Transactions on Visualization and Computer Graphics
Using Deformations for Browsing Volumetric Data
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Illustrative Context-Preserving Exploration of Volume Data
IEEE Transactions on Visualization and Computer Graphics
Feature Aligned Volume Manipulation for Illustration and Visualization
IEEE Transactions on Visualization and Computer Graphics
Using resolution pyramids for watershed image segmentation
Image and Vision Computing
Efficient active contour and K-means algorithms in image segmentation
Scientific Programming - Distributed Computing and Applications
IEEE Transactions on Visualization and Computer Graphics
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This paper presents an interactive volume modeling method that constructs skeletal muscles from an existing volumetric dataset. Our approach provides users with an intuitive modeling interface and produces compelling results that conform to the characteristic anatomy in the input volume. The algorithmic core of our method is an intuitive anatomy classification approach, suited to accommodate spatial constraints on the muscle volume. The presented work is useful in illustrative visualization, volumetric information fusion and volume illustration that involve muscle modeling, where the spatial context should be faithfully preserved.