This paper presents a system to manipulate 3D objectsor navigate through 3D models by detecting the gesturesand the movements of the hands of a user in front of a cameramounted on top of a screen. This paper more particularlyintroduces an improved skin color segmentation algorithmwhich combines an online and an offline model; anda Haarlet-based hand gesture recognition system, wherethe Haarlets are trained based on Average NeighborhoodMargin Maximization (ANMM). The result is a real-timemarker-less interaction system which is applied to two applications,one for manipulating 3D objects, and the otherfor navigating through a 3D model.
|Title of host publication||2009 Workshop on Applications of Computer Vision (WACV)|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Publication status||Published - 2 Feb 2010|
|Event||2009 Workshop on Applications of Computer Vision - Snowbird, United States|
Duration: 7 Dec 2009 → 8 Dec 2009
|Workshop||2009 Workshop on Applications of Computer Vision|
|Period||7/12/09 → 8/12/09|