论文标题
通过检测和增强日常对象实现切实的互动
Enabling Tangible Interaction through Detection and Augmentation of Everyday Objects
论文作者
论文摘要
自从基于摄像头的系统的扩散以“恰到时光”检测和增强对象以来，与日常对象的数字互动已变得流行。通用系统使用基于视觉的方法来检测对象并向用户显示其功能。传感器（例如颜色和深度摄像机）变得廉价，并允许在移动设置和固定设置中进行无缝的环境跟踪。但是，在不同上下文中的对象检测面临挑战，因为它在很大程度上取决于环境参数和对象本身的条件。在这项工作中，我们介绍了三种跟踪算法，我们在过去的研究项目中使用这些算法来跟踪和识别对象。我们展示了如何使用移动和固定的增强现实来扩展对象的功能。我们得出的结论是，公共项目如何在其常规功能之外提供用户定义的有形互动。
Digital interaction with everyday objects has become popular since the proliferation of camera-based systems that detect and augment objects "just-in-time". Common systems use a vision-based approach to detect objects and display their functionalities to the user. Sensors, such as color and depth cameras, have become inexpensive and allow seamless environmental tracking in mobile as well as stationary settings. However, object detection in different contexts faces challenges as it highly depends on environmental parameters and the conditions of the object itself. In this work, we present three tracking algorithms which we have employed in past research projects to track and recognize objects. We show, how mobile and stationary augmented reality can be used to extend the functionalities of objects. We conclude, how common items can provide user-defined tangible interaction beyond their regular functionality.
