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112
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ICIP
2006
IEEE
16 years 17 days 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
ISMM
2009
Springer
15 years 5 months ago
Morphological Exploration of Shape Spaces
The aim of this paper is to propose efficient tools for analysing shape families using morphological operators. The developments include the definition of shape statistics (mean a...
Jesús Angulo, Fernand Meyer
107
Voted
3DOR
2010
14 years 6 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein
102
Voted
ICDAR
2005
IEEE
15 years 4 months ago
Handwriting Matching and Its Application to Handwriting Synthesis
Since it is extremely expensive to collect a large volume of handwriting samples, synthesized data are often used to enlarge the training set. We argue that, in order to generate ...
Yefeng Zheng, David S. Doermann
106
Voted
CVPR
2008
IEEE
16 years 28 days ago
Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions
In this work, we introduce a novel implicit representation of shape which is based on assigning to each pixel a probability that this pixel is inside the shape. This probabilistic...
Daniel Cremers, Frank R. Schmidt, Frank Barthel