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PRL
2007
158views more  PRL 2007»
8 years 9 months ago
Stability and convergence of the level set method in computer vision
Several computer vision problems, like segmentation, tracking and shape modeling, are increasingly being solved using level set methodologies. But the critical issues of stability...
Kunal N. Chaudhury, K. R. Ramakrishnan
CAGD
2008
109views more  CAGD 2008»
8 years 10 months ago
Detail preserving deformation of B-spline surfaces with volume constraint
Geometric constraints have proved to be helpful for shape modeling. Moreover, they are efficient aids in controlling deformations and enhancing animation realism. The present pape...
Basile Sauvage, Stefanie Hahmann, Georges-Pierre B...
SMI
1999
IEEE
111views Image Analysis» more  SMI 1999»
9 years 2 months ago
Computational Topology for Shape Modeling
This paper expands the role of the new field of computational topology by surveying methods for incorporating connectedness in shape modeling. Two geometric representations in par...
John C. Hart
CW
2003
IEEE
9 years 3 months ago
Mesh Generation and Refinement of Polygonal Data Sets
This paper presents work in progress and continues a project devoted to developing shape modeling system based on implementation of radial based function (RBF) technology. In this...
Vladimir V. Savchenko, Irina B. Semenova, Nikita K...
CW
2005
IEEE
9 years 3 months ago
Function-based Time-dependent Shape Modeling on the Web
In this paper we propose FVRML—a function-based extension of Virtual Reality Modeling Language which allows for time-dependent shape modeling on the web. Shape’s geometry, 3D ...
Qi Liu, Alexei Sourin
CCGRID
2006
IEEE
9 years 4 months ago
Interactive Grid-based Free-Form Shape Modeling
— Geometric shape modeling becomes increasingly complex and resource-demanding task. In this paper we propose a method to leverage the power of Grid to provide users with high-pr...
Anthony S. K. Chong, Konstantin Levinski, Alexei S...
ISBI
2007
IEEE
9 years 4 months ago
Shape Analysis Using Curvature-Based Descriptors and Profile Hidden Markov Models
This paper presents a new framework for shape modeling and analysis. A shape instance is described by a curvature-based shape descriptor. A Profile Hidden Markov Model (PHMM) is ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ISBI
2006
IEEE
9 years 11 months ago
Statistics of populations of images and its embedded objects: driving applications in neuroimaging
Work in progress towards modeling shape statistics of multiobject complexes is presented. Constraints defined by the set of objects such as a compact representation of object shap...
Guido Gerig, Sarang C. Joshi, P. Thomas Fletcher, ...
MICCAI
2008
Springer
9 years 11 months ago
Customized Design of Hearing Aids Using Statistical Shape Learning
3D shape modeling is a crucial component of rapid prototyping systems that customize shapes of implants and prosthetic devices to a patient's anatomy. In this paper, we presen...
Gozde B. Unal, Delphine Nain, Gregory G. Slabaug...
ICIP
2006
IEEE
9 years 12 months ago
A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
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