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3D Face Recognition based on Local Conformal Parameterization and Iso-Geodesic Stripes Analysis

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  • Chenlei Lv
  • Junli Zhao

Abstract

3D face recognition is an important topic in the field of pattern recognition and computer graphic. We propose a novel approach for 3D face recognition using local conformal parameterization and iso-geodesic stripes. In our framework, the 3D facial surface is considered as a Riemannian 2-manifold. The surface is mapped into the 2D circle parameter domain using local conformal parameterization. In the parameter domain, the geometric features are extracted from the iso-geodesic stripes. Combining the relative position measure, Chain 2D Weighted Walkthroughs (C2DWW), the 3D face matching results can be obtained. The geometric features from iso-geodesic stripes in parameter domain are robust in terms of head poses, facial expressions, and some occlusions. In the experiments, our method achieves a high recognition accuracy of 3D facial data from the Texas3D and Bosphorus3D face database.

Suggested Citation

  • Chenlei Lv & Junli Zhao, 2018. "3D Face Recognition based on Local Conformal Parameterization and Iso-Geodesic Stripes Analysis," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-10, October.
    • Handle: RePEc:hin:jnlmpe:4707954
    DOI: 10.1155/2018/4707954
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