Curve-Skeleton Properties, Applications, and Algorithms
- N. Cornea, D. Silver, P. Min
- Computer ScienceIEEE Transactions on Visualization and Computer…
- 1 May 2007
This paper provides an overview of many curve-skeleton applications and compile a set of desired properties of such representations and gives a taxonomy of methods and analyzes the advantages and drawbacks of each class of algorithms.
Skeleton based shape matching and retrieval
- H. Sundar, D. Silver, N. Gagvani, Sven J. Dickinson
- Computer ScienceShape Modeling International.
- 12 May 2003
The method encodes the geometric and topological information in the form of a skeletal graph and uses graph matching techniques to match the skeletons and to compare them and also describes a visualization tool to aid in the selection and specification of the matched objects.
Computing hierarchical curve-skeletons of 3D objects
- N. Cornea, D. Silver, Xiaosong Yuan, B. Raman
- Computer ScienceThe Visual Computer
- 14 September 2005
A general and robust methodology that computes a family of increasingly detailed curve-skeletons, based upon computing a repulsive force field over a discretization of the 3D object and using topological characteristics of the resulting vector field, such as critical points and critical curves, to extract the curve-Skeleton.
Data, Information, and Knowledge in Visualization
It is suggested that data, information, and knowledge could serve as both the input and output of a visualization process, raising questions about their exact role in visualization.
Understanding visualization through spatial ability differences
- Maria C. Velez, D. Silver, M. Tremaine
- PsychologyVIS 05. IEEE Visualization, .
- 23 October 2005
The results show that high spatial ability is correlated with accuracy on the authors' three-dimensional visualization test, but not with time, while low spatial ability subjects had less difficulty with object complexity and the hidden properties of an object.
Tracking and Visualizing Turbulent 3D Features
A technique which isolates and tracks full-volume representations of regions of interest from 3D regular and curvilinear computational fluid dynamics datasets and can be used to enhance isosurface visualization and volume rendering by color coding individual regions.
Visualizing features and tracking their evolution
- R. Samtaney, D. Silver, N. Zabusky, J. Cao
- Computer ScienceComputer
- 1 July 1994
We describe basic algorithms to extract coherent amorphous regions (features or objects) from 2 and 3D scalar and vector fields and then track them in a series of consecutive time steps. We use a…
Volume tracking
- D. Silver, Xin Wang
- Computer ScienceProceedings of Seventh Annual IEEE Visualization…
- 27 October 1996
This work presents their volume based feature tracking algorithm and discusses how it can be used to help visualize and analyze large time varying datasets, and addresses efficiency issues in dealing with massive time varying dataset.
3D object retrieval using many-to-many matching of curve skeletons
- N. Cornea, M. F. Demirci, D. Silver, A. Shokoufandeh, Sven J. Dickinson, P. Kantor
- Computer ScienceInternational Conference on Smart Media and…
- 13 June 2005
A 3D matching framework based on a many-to-many matching algorithm that works with skeletal representations of 3D volumetric objects and produces a direct correspondence between two skeletons and their parts that can be used for registration and juxtaposition.
...
...