2007
DOI: 10.1016/j.imavis.2006.04.027
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An augmented reality human–computer interface for object localization in a cognitive vision system

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Cited by 12 publications
(10 citation statements)
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References 31 publications
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“…The system in [SHWP07] utilizes the direction of the pointing gesture of the user to infer the object that the user is pointing at, on his/hers desk. In [KF94], a "responsive workbench" allows the user to manipulate objects in a virtual environment for industrial training via tracking of the user's hands.…”
Section: Complete Gesture Recognition Systemsmentioning
confidence: 99%
“…The system in [SHWP07] utilizes the direction of the pointing gesture of the user to infer the object that the user is pointing at, on his/hers desk. In [KF94], a "responsive workbench" allows the user to manipulate objects in a virtual environment for industrial training via tracking of the user's hands.…”
Section: Complete Gesture Recognition Systemsmentioning
confidence: 99%
“…Users can easily operate, but without a suitable 3D model as the retrieval example, it is very difficult to carry on. Siegl et al [15] employ an interactive approach to teaching and retrieving by using mobile AR-kits. Ichida et al [16] implement a query interface for retrieval of 3D shape models with physical objects by using the ActiveCube system.…”
Section: Introductionmentioning
confidence: 99%
“…Further, they present an analysis several pertinent classifiers in the context of hand pose detection. An augmented reality human computer interface for object localization is presented by Siegl et al [6]. The overall goal of their work is to facilitate 3D environment interaction by going beyond traditional 2D tools.…”
mentioning
confidence: 99%