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Research on Scene Management Technology Based on Adaptive Binary Tree and Scene Graph

机译:基于自适应二叉树和场景图的场景管理技术研究

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Scene management technology is one of the key technologies of virtual reality and visualization. In this paper, we propose a new method based on adaptive binary tree (ABT) and scene graph, which is used to improve the real-time rendering of indoor and outdoor objects and enhance the organization efficiency of scenes structure. The generation algorithm of adaptive binary tree, the scoring standard of the splitting plane, the algorithm of search effective segmentation of plane and related algorithms are described in detail. Due to the characteristics of high accuracy of adaptive binary tree space subdivision and strong adaptability of scene graph, the paper proposes the new management model that combines adaptive binary tree space subdivision algorithm to scene graph, forming the strategy of scene management. It not only expands the range of application of scene organization, but also can help to improve the subsequent rendering efficiency. The experimental results have demonstrated that our method greatly shortens the three-dimensional scene organization time, and accelerates real-time rendering speed of complex scene.
机译:场景管理技术是虚拟现实和可视化的关键技术之一。在本文中,我们提出了一种基于自适应二叉树(ABT)和场景图的新方法,用于改善室内和室外物体的实时渲染,提高场景结构的组织效率。详细描述了自适应二叉树的生成算法,分裂平面的评分标准,平面和相关算法的搜索有效分割算法。由于自适应二叉树空间细分的高精度特征和场景图的强大适应性,该论文提出了将自适应二叉树空间细分算法与场景图组合的新管理模型,形成了场景管理的策略。它不仅扩展了场景组织的应用范围,还可以帮助提高后续渲染效率。实验结果表明,我们的方法大大缩短了三维场景组织时间,加速了复杂场景的实时渲染速度。

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