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一种用于协同可视化的轨迹保持同步方法。

A trajectory-preserving synchronization method for collaborative visualization.

作者信息

Li Lewis W F, Li Frederick W B, Lau Rynson W H

机构信息

Department of Computer Science, City University of Hong Kong, Hong Kong.

出版信息

IEEE Trans Vis Comput Graph. 2006 Sep-Oct;12(5):989-96. doi: 10.1109/TVCG.2006.114.

DOI:10.1109/TVCG.2006.114
PMID:17080826
Abstract

In the past decade, a lot of research work has been conducted to support collaborative visualization among remote users over the networks, allowing them to visualize and manipulate shared data for problem solving. There are many applications of collaborative visualization, such as oceanography, meteorology and medical science. To facilitate user interaction, a critical system requirement for collaborative visualization is to ensure that remote users will perceive a synchronized view of the shared data. Failing this requirement, the user's ability in performing the desirable collaborative tasks will be affected. In this paper, we propose a synchronization method to support collaborative visualization. It considers how interaction with dynamic objects is perceived by application participants under the existence of network latency, and remedies the motion trajectory of the dynamic objects. It also handles the false positive and false negative collision detection problems. The new method is particularly well designed for handling content changes due to unpredictable user interventions or object collisions. We demonstrate the effectiveness of our method through a number of experiments.

摘要

在过去十年中,已经开展了大量研究工作来支持远程用户通过网络进行协作可视化,使他们能够可视化并操作共享数据以解决问题。协作可视化有许多应用,如海洋学、气象学和医学。为了促进用户交互,协作可视化的一个关键系统要求是确保远程用户能够感知共享数据的同步视图。如果不满足此要求,用户执行期望的协作任务的能力将受到影响。在本文中,我们提出了一种支持协作可视化的同步方法。它考虑了在网络延迟存在的情况下应用程序参与者如何感知与动态对象的交互,并修正动态对象的运动轨迹。它还处理误报和漏报碰撞检测问题。该新方法特别适合处理由于不可预测的用户干预或对象碰撞导致的内容变化。我们通过一系列实验证明了我们方法的有效性。

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