Computer Vision-Based Gesture Tracking, Object Tracking, and 3D Reconstruction for Augmented Desks
Computer Vision-Based Gesture Tracking, Object Tracking, and 3D Reconstruction for Augmented Desks
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基于计算机视觉的增强办公桌手势跟踪、对象跟踪和 3D 重建
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
Justin Weeks
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文献类型：
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作者：
Thad Starner;B. Leibe;David C. Minnen;Tracy L. Westeyn;A. Hurst;Justin Weeks
感知工作台致力于在物理世界和虚拟世界之间创建一个自发的、畅通无阻的界面。其基于视觉的交互方法构成了有线输入设备和系留跟踪的替代方案。当物体放置在显示面上时，可以识别和跟踪。通过使用多个红外光源，可以捕获物体的3D形状并插入到虚拟界面中。这种能力允许自发性，因为无论是预加载的对象还是用户在运行时选择的对象都可以成为物理图标。集成到相同的基于视觉的界面是识别3D手的位置，指向的方向，和扫视手臂手势的能力。这些手势可以增强选择、操作和导航任务。感知工作台已被用于各种应用，包括增强现实游戏和地形导航。本文重点介绍了实现感知工作台所使用的技术和系统的性能。
The Perceptive Workbench endeavors to create a spontaneous and unimpeded interface between the physical and virtual worlds. Its vision-based methods for interaction constitute an alternative to wired input devices and tethered tracking. Objects are recognized and tracked when placed on the display surface. By using multiple infrared light sources, the object’s 3D shape can be captured and inserted into the virtual interface. This ability permits spontaneity since either preloaded objects or those objects selected at run-time by the user can become physical icons. Integrated into the same vision-based interface is the ability to identify 3D hand position, pointing direction, and sweeping arm gestures. Such gestures can enhance selection, manipulation, and navigation tasks. The Perceptive Workbench has been used for a variety of applications, including augmented reality gaming and terrain navigation. This paper focuses on the techniques used in implementing the Perceptive Workbench and the system’s performance.