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ISBI
2007
IEEE
13 years 11 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
MICCAI
2006
Springer
14 years 5 months ago
Open-Curve Shape Correspondence Without Endpoint Correspondence
Abstract. Shape correspondence is the foundation for accurate statistical shape analysis; this is usually accomplished by identifying a set of sparsely sampled and well-corresponde...
Theodor Richardson, Song Wang
MICCAI
2005
Springer
14 years 5 months ago
Nonrigid Shape Correspondence Using Landmark Sliding, Insertion and Deletion
The growing usage of statistical shape analysis in medical imaging calls for effective methods for highly accurate shape correspondence. This paper presents a novel landmark-based ...
Theodor Richardson, Song Wang
TVCG
2008
112views more  TVCG 2008»
13 years 4 months ago
Text Scaffolds for Effective Surface Labeling
In this paper we introduce a technique for applying textual labels to 3D surfaces. An effective labeling must balance the conflicting goals of conveying the shape of the surface wh...
Gregory Cipriano, Michael Gleicher
ACCV
2007
Springer
13 years 11 months ago
Coarse-to-Fine Statistical Shape Model by Bayesian Inference
In this paper, we take a predefined geometry shape as a constraint for accurate shape alignment. A shape model is divided in two parts: fixed shape and active shape. The fixed shap...
Ran He, Stan Z. Li, Zhen Lei, ShengCai Liao