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CLC number: O343.2
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Received: 2006-04-24
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High-extensible scene graph framework based on component techniques
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LI Qi-cheng, WANG Guo-ping, ZHOU Feng. High-extensible scene graph framework based on component techniques[J]. Journal of Zhejiang University Science A, 2006, 7(7): 1247-1252.
@article{title="High-extensible scene graph framework based on component techniques",
author="LI Qi-cheng, WANG Guo-ping, ZHOU Feng",
journal="Journal of Zhejiang University Science A",
volume="7",
number="7",
pages="1247-1252",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A1247"
}
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%T High-extensible scene graph framework based on component techniques
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%A WANG Guo-ping
%A ZHOU Feng
%J Journal of Zhejiang University SCIENCE A
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%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A1247
TY - JOUR
T1 - High-extensible scene graph framework based on component techniques
A1 - LI Qi-cheng
A1 - WANG Guo-ping
A1 - ZHOU Feng
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 7
SP - 1247
EP - 1252
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A1247
Abstract: In this paper, a novel component-based scene graph is proposed, in which all objects in the scene are classified to different entities, and a scene can be represented as a hierarchical graph composed of the instances of entities. Each entity contains basic data and its operations which are encapsulated into the entity component. The entity possesses certain behaviours which are responses to rules and interaction defined by the high-level application. Such behaviours can be described by script or behaviours model. The component-based scene graph in the paper is more abstractive and high-level than traditional scene graphs. The contents of a scene could be extended flexibly by adding new entities and new entity components, and behaviour modification can be obtained by modifying the model components or behaviour scripts. Its robustness and efficiency are verified by many examples implemented in the Virtual Scenario developed by Peking University.
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