Computer Vision, Graphics, and Image Processing
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Energy constraints on parameterized models
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Multiresolution elastic matching
Computer Vision, Graphics, and Image Processing
A new surface interpolation technique for reconstructing 3D objects from serial corss-sections
Computer Vision, Graphics, and Image Processing
Optimal surface reconstruction from planar contours
Communications of the ACM
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Extracting geometric models through constraint minimization
VIS '90 Proceedings of the 1st conference on Visualization '90
ACM Transactions on Graphics (TOG)
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Surface modeling with oriented particle systems
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
I3D '92 Proceedings of the 1992 symposium on Interactive 3D graphics
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Multiresolution stochastic hybrid shape models with fractal priors
ACM Transactions on Graphics (TOG) - Special issue on interactive sculpting
Predicting the drape of woven cloth using interacting particles
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Tracking scalar features in unstructured datasets
Proceedings of the conference on Visualization '98
A Level-Set Approach to 3D Reconstruction from Range Data
International Journal of Computer Vision
Skin: a constructive approach to modeling free-form shapes
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Reducing aliasing artifacts in iso-surfaces of binary volumes
VVS '00 Proceedings of the 2000 IEEE symposium on Volume visualization
Semi-regular mesh extraction from volumes
Proceedings of the conference on Visualization '00
Proceedings of the sixth ACM symposium on Solid modeling and applications
Advanced algorithmic approaches to medical image segmentation
Fast extraction of adaptive multiresolution meshes with guaranteed properties from volumetric data
Proceedings of the conference on Visualization '01
Efficient Skeletonization of Volumetric Objects
IEEE Transactions on Visualization and Computer Graphics
A Level-Set Approach for the Metamorphosis of Solid Models
IEEE Transactions on Visualization and Computer Graphics
IEEE Computer Graphics and Applications
Interpolation and Approximation of Surfaces from Three-dimensional Scattered Data Points
Dagstuhl '97, Scientific Visualization
Techniques and Applications of Deformable Surfaces
Dagstuhl '97, Scientific Visualization
A Multiscale Deformable Model for Extracting Complex Surfaces from Volume Images
PG '99 Proceedings of the 7th Pacific Conference on Computer Graphics and Applications
VG '03 Proceedings of the 2003 Eurographics/IEEE TVCG Workshop on Volume graphics
MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
The vision camera: an interactive tool for volume data exploration and navigation
VIS '93 Proceedings of the 4th conference on Visualization '93
Improvements to surface reconstruction by the CRUST algorithm
SCCG '03 Proceedings of the 19th spring conference on Computer graphics
A review of vessel extraction techniques and algorithms
ACM Computing Surveys (CSUR)
Facets: a new algorithm for extracting 3-D surface from volume data
ACM-SE 33 Proceedings of the 33rd annual on Southeast regional conference
Boundary filtering approach in surface reconstruction
International Journal of Computational Science and Engineering
Three-dimensional shape reconstruction of abdominal aortic aneurysm
Computer-Aided Design
Real-time deformable models for surgery simulation: a survey
Computer Methods and Programs in Biomedicine
Reconstructing a 3-D structure with multiple deformable solid primitives
Computers and Graphics
Surface Reconstruction Method Based on a Growing Self-Organizing Map
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Growing self-reconstruction maps
IEEE Transactions on Neural Networks
Information Sciences: an International Journal
Method for automatically segmenting the spinal cord and canal from 3d CT images
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Progressive surface reconstruction for heart mapping procedure
Computer-Aided Design
Extracting boundary surface of arbitrary topology from volumetric datasets
VG'01 Proceedings of the 2001 Eurographics conference on Volume Graphics
Segmentation of biological volume datasets using a level-set framework
VG'01 Proceedings of the 2001 Eurographics conference on Volume Graphics
Automatic feature modeling techniques for volume segmentation applications
VG'07 Proceedings of the Sixth Eurographics / Ieee VGTC conference on Volume Graphics
Pattern Recognition and Image Analysis
| Hi-index | 0.00 |
We propose a new approach to the problem of generating a simple topologically-closed geometric model from a point-sampled volume data set. We call such a model a Geometrically Deformed Model or GDM. A GDM is created by placing a 'seed' model in the volume data set. The model is then deformed by a relaxation process that minimizes a set of constraints that provides a measure of how well the model fits the features in the data. Constraints are associated with each vertex in the model that control local deformation, interaction between the model and the data set, and the shape and topology of the model. Once generated, a GDM can be used for visualization, shape recognition, geometric measurements, or subjected to a series of geometric operations. This technique is of special importance because of the advent of nondestructive sensing equipment (CT, MRI) that generates point samples of true three-dimensional objects.