Spatial relationship patterns: elements of reusable tracking and calibration systems
Spatial relationship patterns: elements of reusable tracking and calibration systems
复制标题
空间关系模式：可重复使用的跟踪和校准系统的元素
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
G. Klinker
中科院分区：
文献类型：
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作者：
D. Pustka;M. Huber;M. Bauer;G. Klinker
随着跟踪设置变得越来越复杂，找到合适的跟踪，校准和传感器融合算法变得越来越困难。大量的解决方案存在于文献中的传感器的各种组合，但是，没有开发方法可用于跟踪设置的系统分析。当将系统建模为描述坐标系和已知变换的空间关系图（SRG）时，用于跟踪和校准的所有算法都对应于图中的某些模式。本文介绍了一种形式化的模型，用于表示这种空间关系模式，并提出了一个小的目录中经常使用的增强现实系统的模式。我们还描述了一种算法，以确定在运行时的SRG模式的数据流网络的跟踪和校准的自动构建。
With tracking setups becoming increasingly complex, it gets more difficult to find suitable algorithms for tracking, calibration and sensor fusion. A large number of solutions exists in the literature for various combinations of sensors, however, no development methodology is available for systematic analysis of tracking setups. When modeling a system as a spatial relationship graph (SRG), which describes coordinate systems and known transformations, all algorithms used for tracking and calibration correspond to certain patterns in the graph. This paper introduces a formal model for representing such spatial relationship patterns and presents a small catalog of patterns frequently used in augmented reality systems. We also describe an algorithm to identify patterns in SRGs at runtime for automatic construction of data flows networks for tracking and calibration.