Abstract. This paper presents a new method for projecting a mesh model of a source object onto a surface of an arbitrary target object. A deformable model, called Self-organizing Deformable Model(SDM), is deformed so that the shape of the model is fitted to the target object. We introduce an idea of combining a competitive learning and an energy minimization into the SDM deformation. Our method is a powerful tool in the areas of computer vision and computer graphics. For example, it enables to map mesh models onto various kinds of target surfaces like other methods for a surface parameterization, which have focused on specified target surface. Also the SDM can reconstruct shapes of target objects like general deformable models.
We introduce a novel algorithm that decomposes a deformable shape into meaningful parts requiring on...
In this paper, an important application of Self-Organizing Maps (SOM) to construction of adaptive me...
AbstractThis paper uses Neural Mesh to model deformable objects. The energy of Neural Mesh is minimi...
Deformable models are a powerful tool in both computer graphics and computer vision. The description...
Deformable models constitute a flexible framework to address various shape reconstruction problems i...
Deformable models are a powerful tool in both computer graphics and computer vision. The description...
Deformable models are a powerful tool in both computer graphics and computer vision. The description...
Medical images are challenging for segmentation. Deformable models proved to be one of the most effe...
This paper reviews model-based methods for non-rigid shape recognition. These methods model, match a...
In this paper, an important application of Self-Organizing Maps (SOM) to construction of adaptive me...
Abstract Background In the active shape model framework, principal component analysis (PCA) based st...
We describe some techniques that can be used to represent and detect deformable shapes in images. Th...
In this paper, an important application of Self-Organizing Maps (SOM) to construction of adaptive me...
In this paper, an important application of Self-Organizing Maps (SOM) to construction of adaptive me...
Deformable models often require some degree of user interaction to produce an accurate reconstructio...
We introduce a novel algorithm that decomposes a deformable shape into meaningful parts requiring on...
In this paper, an important application of Self-Organizing Maps (SOM) to construction of adaptive me...
AbstractThis paper uses Neural Mesh to model deformable objects. The energy of Neural Mesh is minimi...
Deformable models are a powerful tool in both computer graphics and computer vision. The description...
Deformable models constitute a flexible framework to address various shape reconstruction problems i...
Deformable models are a powerful tool in both computer graphics and computer vision. The description...
Deformable models are a powerful tool in both computer graphics and computer vision. The description...
Medical images are challenging for segmentation. Deformable models proved to be one of the most effe...
This paper reviews model-based methods for non-rigid shape recognition. These methods model, match a...
In this paper, an important application of Self-Organizing Maps (SOM) to construction of adaptive me...
Abstract Background In the active shape model framework, principal component analysis (PCA) based st...
We describe some techniques that can be used to represent and detect deformable shapes in images. Th...
In this paper, an important application of Self-Organizing Maps (SOM) to construction of adaptive me...
In this paper, an important application of Self-Organizing Maps (SOM) to construction of adaptive me...
Deformable models often require some degree of user interaction to produce an accurate reconstructio...
We introduce a novel algorithm that decomposes a deformable shape into meaningful parts requiring on...
In this paper, an important application of Self-Organizing Maps (SOM) to construction of adaptive me...
AbstractThis paper uses Neural Mesh to model deformable objects. The energy of Neural Mesh is minimi...