3D Facial Biometric Database – Search and Reconstruction of Objects Based on PCA Modes

  • Michal Rychlik
  • Witold Stankiewicz
  • Marek Morzynski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8513)

Abstract

This article presents application of modal analysis for the computation of biometric data base (3D faces) and extraction of three dimensional geometrical features. Traditional anthropometric database contains information only about some characteristic points recorded as linear or angular dimensions. The current face recognition systems are also based on the two-dimensional information. To increase level of security the methods need to operate on three-dimensional data. In the article authors present of 3D modal analysis, for decomposition, extraction features and individual coding of analyzed objects sets. Authors apply empirical modal analysis PCA (Principal Component Analysis) for 3D data of human faces. Additionally for face recognition, the comparison of reconstruction with different number of modes are presented and discussed.

Keywords

3D geometry reconstruction data registration low-dimensional model modal analysis Principal Component Analysis (PCA) 
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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Michal Rychlik
    • 1
  • Witold Stankiewicz
    • 1
  • Marek Morzynski
    • 1
  1. 1.Department of Virtual EngineeringPoznan University of TechnologyPoznanPoland

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