The perceptive workbench: Computer-vision-based gesture tracking,object tracking,and 3D reconstruction for augmented desks |
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Authors: | Thad Starner Bastian Leibe David Minnen Tracy Westyn Amy Hurst Justin Weeks |
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Affiliation: | (1) Contextual Computing Group, GVU Center, Georgia Insititute of Technology, Atlanta, GA 30332-0356, USA; e-mail: {thad,dminn,turtle,sloopy,joostan}@cc.gatech.edu , US;(2) Perceptual Computing and Computer Vision Group, ETH Zürich, 8092 Zürich, Switzerland; e-mail: leibe@inf.ethz.ch , CH |
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Abstract: | Abstract. 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 3-D 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 3-D 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. |
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Keywords: | : Gesture – 3-D object reconstruction – Tracking – Computer vision – Virtual reality |
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