Surface and curve skeletons are important shape descriptors with applications in shape matching, simplification, retrieval, and animation. In recent years, many surface and curve skeletonization methods for 3D shapes have been proposed. However, practical comparisons of such methods against each other and against given quality criteria are quite limited in the literature. In this paper, we compare 4 surface and 6 recent curve skeletonization methods that operate on voxel shapes. We first compare the selected methods from a global perspective, using the quality criteria established by a reference paper in the field. Next, we propose a detailed comparison that refines the gained insights by highlighting small-scale differences between skeleto...
Medical imaging is still mainly focusing on visualization and data communication. However, applicati...
Given a shape, a skeleton is a thin centered structure which jointly describes the topology and the ...
We present an effective framework for segmenting 3D shapes into meaningful components using the curv...
Surface and curve skeletons are important shape descriptors with applications in shape matching, sim...
In recent years, many new methods have been proposed for extracting curve skeletons of 3D shapes, us...
In recent years, many new methods have been proposed for extracting curve skeletons of 3D shapes, us...
• Skeletons are well-known shape descriptors. • Applications in: shape matching, recognition, animat...
s a nim rop rite niza spec d co ferences between skeletons obtained by different methods. with rieva...
The type of representation used in describing shape can have a significant impact on the effectivene...
There are many algorithms for computing curve skeletons. Most of them have their own notion of what ...
Skeletons are powerful shape descriptors with many applications in shape processing, reconstruction ...
In the proposed thesis, we address two challenges related to skeletons. The first is to formulate no...
Figure 1: Four alternative definitions of medial skeletons: (a) centers of maximally-inscribed balls...
Curve-skeletons are well known shape descriptors, able to encode topological and structural informat...
Medical imaging is still mainly focusing on visualization and data communication. However, applicati...
Given a shape, a skeleton is a thin centered structure which jointly describes the topology and the ...
We present an effective framework for segmenting 3D shapes into meaningful components using the curv...
Surface and curve skeletons are important shape descriptors with applications in shape matching, sim...
In recent years, many new methods have been proposed for extracting curve skeletons of 3D shapes, us...
In recent years, many new methods have been proposed for extracting curve skeletons of 3D shapes, us...
• Skeletons are well-known shape descriptors. • Applications in: shape matching, recognition, animat...
s a nim rop rite niza spec d co ferences between skeletons obtained by different methods. with rieva...
The type of representation used in describing shape can have a significant impact on the effectivene...
There are many algorithms for computing curve skeletons. Most of them have their own notion of what ...
Skeletons are powerful shape descriptors with many applications in shape processing, reconstruction ...
In the proposed thesis, we address two challenges related to skeletons. The first is to formulate no...
Figure 1: Four alternative definitions of medial skeletons: (a) centers of maximally-inscribed balls...
Curve-skeletons are well known shape descriptors, able to encode topological and structural informat...
Medical imaging is still mainly focusing on visualization and data communication. However, applicati...
Given a shape, a skeleton is a thin centered structure which jointly describes the topology and the ...
We present an effective framework for segmenting 3D shapes into meaningful components using the curv...