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Rigid and Non-rigid Face Motion Tracking by Aligning Texture Maps and Stereo-Based 3D Models

  • Fadi Dornaika
  • Angel D. Sappa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4179)

Abstract

Accurate rigid and non-rigid tracking of faces is a challenging task in computer vision. Recently, appearance-based 3D face tracking methods have been proposed. These methods can successfully tackle the image variability and drift problems. However, they may fail to provide accurate out-of-plane face motions since they are not very sensitive to out-of-plane motion variations. In this paper, we present a framework for fast and accurate 3D face and facial action tracking. Our proposed framework retains the strengths of both appearance and 3D data-based trackers. We combine an adaptive appearance model with an online stereo-based 3D model. We provide experiments and performance evaluation which show the feasibility and usefulness of the proposed approach.

Keywords

Appearance Model Facial Action Face Motion Active Appearance Model Mesh Vertex 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Fadi Dornaika
    • 1
  • Angel D. Sappa
    • 1
  1. 1.Computer Vision Center, Campus UABBellaterra, BarcelonaSpain

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