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Binocular Hand Tracking and Reconstruction Based on 2D Shape Matching Antonis A. Argyros and Manolis I.A. Lourakis
 

Summary: Binocular Hand Tracking and Reconstruction Based on 2D Shape Matching
Antonis A. Argyros and Manolis I.A. Lourakis
Foundation for Research and Technology Hellas (FORTH)
Institute of Computer Science (ICS)
Heraklion, Crete, Greece
{argyros, lourakis}@ics.forth.gr
Abstract
This paper presents a method for real-time 3D hand
tracking in images acquired by a calibrated, possibly
moving stereoscopic rig. The proposed method
consists of a collection of techniques that enable the
modeling and detection of hands, their temporal
association in image sequences, the establishment of
hand correspondences between stereo images and the
3D reconstruction of their contours. Building upon our
previous research on color-based, 2D skin-color
tracking, the 3D hand tracker is developed through the
coupling of the results of two 2D skin-color trackers
that run independently on the two video streams
acquired by a stereoscopic system. The proposed

  

Source: Argyros, Antonis - Foundation of Research and Technology, Hellas & Department of Computer Science, University of Crete

 

Collections: Computer Technologies and Information Sciences