Expression robust three-dimensional face recognition based on gaussian filter and dual-tree complex wavelet transform

  • Authors:
  • Xueqiao Wang;Qiuqi Raun;Yi Jin;Gaoyun An

  • Affiliations:
  • Beijing Key Laboratory of Advanced Information Science and Network Technology, Institution of information Science, Beijing Jiaotong University, Beijing, P.R. China;Beijing Key Laboratory of Advanced Information Science and Network Technology, Institution of information Science, Beijing Jiaotong University, Beijing, P.R. China;Beijing Key Laboratory of Advanced Information Science and Network Technology, Institution of information Science, Beijing Jiaotong University, Beijing, P.R. China;Beijing Key Laboratory of Advanced Information Science and Network Technology, Institution of information Science, Beijing Jiaotong University, Beijing, P.R. China

  • Venue:
  • Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
  • Year:
  • 2014

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Abstract

In this paper, a fully automatic framework is proposed for 3D face recognition and its superiority performance is justified by the FRGC v2 data. For 3D data preprocessing, a new face smoothing method is proposed. Meanwhile, 3D facial representation, which is extracted by the Dual-tree Complex Wavelet Transform DT-CWT, is introduced to reflect the facial geometry properties. Low redundancy makes it more effective and efficient to describe the discriminant feature in 2.5D range data. In this paper, DT-CWT is used into 2.5D range data in conjunction with the Linear Discriminant Analysis LDA to form a rejection classifier, which can quickly eliminate a large number of candidate gallery faces. The remaining faces are then verified using sparse representation based classification. Our method achieves the verification rate of 98.66% on All vs. All experiment at an FAR of 0.1%.