Real-Time Volumetric Reconstruction and Tracking of Hands in a Desktop Environment

  • Christoph John
  • Ulrich Schwanecke
  • Holger Regenbrecht
Conference paper

DOI: 10.1007/978-3-642-03767-2_128

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5702)
Cite this paper as:
John C., Schwanecke U., Regenbrecht H. (2009) Real-Time Volumetric Reconstruction and Tracking of Hands in a Desktop Environment. In: Jiang X., Petkov N. (eds) Computer Analysis of Images and Patterns. CAIP 2009. Lecture Notes in Computer Science, vol 5702. Springer, Berlin, Heidelberg

Abstract

A probabilistic framework for vision based volumetric reconstruction and marker free tracking of hand and face volumes is presented, which exclusively relies on off-the-shelf hardware components and can be applied in standard office environments. Here a 3D reconstruction of the interaction environment (user-space) is derived from multiple camera viewpoints which serve as input sources for mixture particle filtering to infer position estimates of hand and face volumes. The system implementation utilizes graphics hardware to comply with real-time constraints on a single desktop computer.

Keywords

Probabilistic Shape From Silhouette Mixture Particle Filtering 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Christoph John
    • 1
    • 2
  • Ulrich Schwanecke
    • 2
  • Holger Regenbrecht
    • 1
  1. 1.University of OtagoNew Zealand
  2. 2.University of Applied Sciences WiesbadenGermany

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