Towards 3D hand tracking using a deformable model

  • Authors:
  • T. Heap;D. Hogg

  • Affiliations:
  • -;-

  • Venue:
  • FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
  • Year:
  • 1996

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Abstract

In this paper we first describe how we have constructed a 3D deformable Point Distribution Model of the human hand, capturing training data semi-automatically from volume images via a physically-based model. We then show how we have attempted to use this model in tracking an unmarked hand moving with 6 degrees of freedom (plus deformation) in real time using a single video camera. In the course of this we show how to improve on a weighted least-squares pose parameter approximation at little computational cost. We note the successes and shortcomings of our system and discuss how it might be improved.