Real perceive-based technology of time and space consistency in distributed virtual environment
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摘要: 传统的一致性解决方案大多将重点放在构建完全一致性模型,缺少对虚拟环境本身运动规律的分析.从认知虚拟环境客观规律出发,提出基于真实感的一致性模型,遵从以人为本的原则,构建描述分布式虚拟环境下时空一致的数学模型,判断虚拟环境下的节点是否达到时空一致,并加以验证.在充分利用一致性模型的基础上通过单向数据传输减少时间扭曲后的回滚节点数目,增强用户沉浸感;利用时延神经网络对大于传输延迟上限的节点状态进行预测;完成节点的状态修复,从而保证时空同步一致.经过独立实验测试,验证了模型的有效性以及解决方法的可行性.Abstract: Many existent methods emphasize on constructing absolute consistency models, but without analyze the movement rules of virtual environment (VE), their practical values were limited. Beginning from the rules of VE, a realistic-based consistency model was proposed. Based on the human perception, a mathematical model for temporal and spatial consistency were built, which can be used in distributed virtual environment (DVE), to determine and verify whether nodes in VE were temporal and spatial consistent. By using one way data transmission, it reduced the number of rollback nodes after time distortion, and increased the sense of immersive; a time delay neural network was used to predict node status which was greater than the maximum propagation delay. Therefore, the temporal and spatial consistency is guaranteed by these strategies. The experimental results demonstrated the effectiveness of this method and a conclusion had been drawn.
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