Hierarchical clustering of 3D objects and its application to minimum distance computation
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.
Año de publicación:
2004
Keywords:
- hierarchical clustering
- World modeling
Fuente:
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Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Aprendizaje automático
- Simulación por computadora
- Ciencias de la computación
Áreas temáticas:
- Métodos informáticos especiales
- Ingeniería y operaciones afines
- Ciencias de la computación