Deferred, Self-Organizing BSP Trees
نویسندگان
چکیده
BSP trees and KD trees are fundamental data structures for collision detection in walkthrough environments. A basic issue in the construction of these hierarchical data structures is the choice of cutting planes. Rather than base these choices solely on the properties of the scene, we propose using information about how the tree is used in order to determine its structure. We demonstrate how this leads to the creation of BSP trees that are small, do not require much preprocessing time, and respond very efficiently to sequences of collision queries.
منابع مشابه
Binary space partitioning trees: a multiresolution approach
Space partitioning techniques are a useful means of organizing geometric models into data structures. Such data structures provide easy and efficient access to a wide range of computer graphics and visualization applications like real-time rendering of large data bases, collision detection, point classification, etc. Binary Space Partitioning (BSP) trees are one of the most successful space par...
متن کاملMultiresolution modeling using binary space partitioning trees
Space partitioning techniques are a useful means of organizing geometric models into data structures. Such data structures provide easy and efficient access to a wide range of computer graphics and visualization applications like Ž . real-time rendering of large data bases, collision detection, point classification, etc. Binary Space Partitioning BSP trees are one of the most successful space p...
متن کاملGenerating Concept Trees from Dynamic Self-organizing Map
Self-organizing map (SOM) provides both clustering and visualization capabilities in mining data. Dynamic self-organizing maps such as Growing Self-organizing Map (GSOM) has been developed to overcome the problem of fixed structure in SOM to enable better representation of the discovered patterns. However, in mining large datasets or historical data the hierarchical structure of the data is als...
متن کاملSelf-customized BSP trees for collision detection
The ability to perform eecient collision detection is essential in virtual reality environments and their applications, such as walkthroughs. In this paper we re-explore a classical structure used for collision detection { the binary space partitioning tree. Unlike the common approach, which attributes equal likelihood to each possible query, we assume events that happened in the past are more ...
متن کاملThe Self-Organizing Map of Attribute Trees
The standard version of the Self-Organzing Map (Kohonen 1990) applies vector data. This paper explains how attribute trees can be used as the learning medium in the Self-Organizing Map. As a data structure, a tree is an optimal presentation of many hierarchical and dynamical objects appearing in natural phenomena and human activities. The proposed approach is based on introducing a distance met...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Comput. Graph. Forum
دوره 21 شماره
صفحات -
تاریخ انتشار 2002