The distance labeled skeleton of a two-dimensional digital object is hierarchically decomposed into loops, branches and concatenations of branches. Decomposition is obtained by using an iterated tracing-and-deleting process alternately applied to more and more internal skeleton subsets. Every skeleton subset is associated a feature, called the relevance, which is related to the spatial extension of the object region represented by that subset. The relevance is used to decide on how to perform concatenations, as well as to rank skeleton decomposition components ascribed to the same hierarchy level. The decomposition is stable under object rotation and can be used in a recognition process accomplished via graph matchin
International audienceIn order to match shapes using their skeletons, these ones should be thin, rob...
In this paper, we present a novel approach to robust skeleton extraction. We use undirected graphs t...
In this thesis we aim to develop a framework for clustering trees and rep- resenting and learning a ...
The skeleton of a digital shape is a line pattern consisting of two basic structures, the branches a...
Hierarchical skeletons and shape components are important shape features, and they are useful for sh...
Skeletonization is a transformation of a component of a digital image into a subset of the original ...
International audience—Hierarchical skeletons and shape components areimportant shape features, and ...
International audienceThe skeleton is an efficient and complete shape descriptor often used for matc...
International audienceThe skeleton is an essential shape descriptor providing a compact representati...
The skeleton of a tridimensional object is split into a number of components, either simple arcs or ...
The use of image pyramids and hierarchical models for 2-D object recognition is described. The image...
A skeleton building algorithm in case of lack of memory is presented. Built skeleton is topologicall...
A robust and efficient method in 2D and 3D for the calculation of skeletons for arbitrary objects is...
The skeleton is essential for general shape representation but the discrete representation of an ima...
Thinning operations and distance transforms have long been used in extracting skeleton information o...
International audienceIn order to match shapes using their skeletons, these ones should be thin, rob...
In this paper, we present a novel approach to robust skeleton extraction. We use undirected graphs t...
In this thesis we aim to develop a framework for clustering trees and rep- resenting and learning a ...
The skeleton of a digital shape is a line pattern consisting of two basic structures, the branches a...
Hierarchical skeletons and shape components are important shape features, and they are useful for sh...
Skeletonization is a transformation of a component of a digital image into a subset of the original ...
International audience—Hierarchical skeletons and shape components areimportant shape features, and ...
International audienceThe skeleton is an efficient and complete shape descriptor often used for matc...
International audienceThe skeleton is an essential shape descriptor providing a compact representati...
The skeleton of a tridimensional object is split into a number of components, either simple arcs or ...
The use of image pyramids and hierarchical models for 2-D object recognition is described. The image...
A skeleton building algorithm in case of lack of memory is presented. Built skeleton is topologicall...
A robust and efficient method in 2D and 3D for the calculation of skeletons for arbitrary objects is...
The skeleton is essential for general shape representation but the discrete representation of an ima...
Thinning operations and distance transforms have long been used in extracting skeleton information o...
International audienceIn order to match shapes using their skeletons, these ones should be thin, rob...
In this paper, we present a novel approach to robust skeleton extraction. We use undirected graphs t...
In this thesis we aim to develop a framework for clustering trees and rep- resenting and learning a ...