论文标题
解决基于标记的基于标记的增强现实的问题
Tackling problems of marker-based augmented reality under water
论文作者
论文摘要
水下站点是增强现实应用的严峻环境。必须战斗的障碍包括可见性条件差，导航困难以及用水下的设备进行硬操作。本章重点介绍使用标记在水下定位设备的问题。它讨论了各种过滤器，以增强和改善水下记录的图像及其对基于标记的跟踪的影响。它提出了10个图像改进算法和4个标记检测算法的各种组合，并在实际情况下测试其性能。所有解决方案旨在在移动设备上实时运行，以为增强现实提供可靠的基础。该解决方案的可用性在地中海的位置进行了评估。结果表明，使用精心选择的参数改善算法的图像可以减少水中可见性的问题并改善标记的检测。最好的结果是通过标记检测专门为水下环境设计的算法获得的。
Underwater sites are a harsh environment for augmented reality applications. Obstacles that must be battled include poor visibility conditions, difficult navigation, and hard manipulation with devices under water. This chapter focuses on the problem of localizing a device under water using markers. It discusses various filters that enhance and improve images recorded under water, and their impact on marker-based tracking. It presents various combinations of 10 image improving algorithms and 4 marker detecting algorithms, and tests their performance in real situations. All solutions are designed to run real-time on mobile devices to provide a solid basis for augmented reality. Usability of this solution is evaluated on locations in Mediterranean Sea. It is shown that image improving algorithms with carefully chosen parameters can reduce the problems with visibility under water and improve the detection of markers. The best results are obtained with marker detecting algorithms that are specifically designed for underwater environments.
