Abstract- This paper presents a new iterative algorithm for automatically generating a hierarchical clustering of the objects contained in a complex 3D scene. The proposed object-oriented representation is shown to be advantageous over octrees, a traditional scene-oriented hierarchical representation, for accelerating extensively-used tasks such as minimum distance computation. Experimental results with large synthetic 3D scenes are presented. Index Terms- Hierarchical clustering. World modeling. I
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of...
<p>Hierarchical clustering sequentially clusters together elements of a set, based on inter-element ...
Clustering forms a major part of showing different relations between data points. Real-time clusteri...
Abstract- This paper presents a new iterative algorithm for automatically generating a hierarchical ...
This report describes an algorithm for computing 3D object hierarchies fit for hlod optimization. Th...
Given a polygonal model of some geometric object, a continuous level of detail system should facili...
For a number of years, robotics researchers have exploited hierarchical representations of geometric...
In 3D object retrieval, additional knowledge like user input, classification information or database...
Visual grouping is a key mechanism in human scene perception. There, it belongs to the subconscious,...
This work introduces an alternative representation for large dimensional data sets. Instead of using...
In this paper we propose a novel framework for 3D object categorization. The object is modeled it in...
This paper presents a new method for solving the following problem: Given a polygonal model of some ...
International audienceIn a Euclidean ascending hierarchical clustering (AHC, Ward's method), the usu...
Approximation is one of the key techniques used in manipulating geometric objects. Ag-gregation is a...
We introduce a method for unsupervised clustering of images of 3D objects. Our method examines the s...
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of...
<p>Hierarchical clustering sequentially clusters together elements of a set, based on inter-element ...
Clustering forms a major part of showing different relations between data points. Real-time clusteri...
Abstract- This paper presents a new iterative algorithm for automatically generating a hierarchical ...
This report describes an algorithm for computing 3D object hierarchies fit for hlod optimization. Th...
Given a polygonal model of some geometric object, a continuous level of detail system should facili...
For a number of years, robotics researchers have exploited hierarchical representations of geometric...
In 3D object retrieval, additional knowledge like user input, classification information or database...
Visual grouping is a key mechanism in human scene perception. There, it belongs to the subconscious,...
This work introduces an alternative representation for large dimensional data sets. Instead of using...
In this paper we propose a novel framework for 3D object categorization. The object is modeled it in...
This paper presents a new method for solving the following problem: Given a polygonal model of some ...
International audienceIn a Euclidean ascending hierarchical clustering (AHC, Ward's method), the usu...
Approximation is one of the key techniques used in manipulating geometric objects. Ag-gregation is a...
We introduce a method for unsupervised clustering of images of 3D objects. Our method examines the s...
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of...
<p>Hierarchical clustering sequentially clusters together elements of a set, based on inter-element ...
Clustering forms a major part of showing different relations between data points. Real-time clusteri...