Ulrich Neumann University of Southern California Computer Graphics / University of Kansas / /
IndustryTerm
hand pose recognition algorithms / faster computing hardware / Real-time tracking / vision-sensor technology / hand pose recognition algorithm / augmented desk interface systems / gesture applications / real-time robust recognition / extra equipment / potential input devices / search space / input devices / feasible solutions / /
Organization
University of Kansas / Department of Linguistics / Pattern Analysis and Machine Intelligence / Ulrich Neumann University of Southern California Computer Graphics and Immersive Technologies Lab / /
ProvinceOrState
Kansas / /
Region
Southern California / /
Technology
laser / hand pose recognition algorithm / 3-d / ASL / vision-sensor technology / Gesture recognition / hand pose recognition algorithms / 1.0GHz processor / /
Real-time Hand Pose Recognition Using Low-Resolution Depth Images Zhenyao Mo, Ulrich Neumann University of Southern California Computer Graphics and Immersive Technologies Lab {zmo, uneuman}@graphics.usc.edu