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Haarlet-based Hand Gesture Recognition for 3D Interaction

M. Van den Bergh, F. Bosche, E. Koller-Meier, and L. Van Gool
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009)
Snowbird, UT, USA, December 2009

Abstract

This paper presents a system to manipulate 3D objects or navigate through 3D models by detecting the gestures and the movements of the hands of a user in front of a camera mounted on top of a screen. This paper more particularly introduces an improved skin color segmentation algorithm which combines an online and an offline model; and a Haarlet-based hand gesture recognition system, where the Haarlets are trained based on Average Neighborhood Margin Maximization (ANMM). The result is a real-time marker-less interaction system which is applied to two applications, one for manipulating 3D objects, and the other for navigating through a 3D model.


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@InProceedings{eth_biwi_00713,
  author = {M. Van den Bergh and F. Bosche and E. Koller-Meier and and L. Van Gool},
  title = {Haarlet-based Hand Gesture Recognition for 3D Interaction},
  booktitle = {Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009)},
  year = {2009},
  month = {December},
  keywords = {}
}