Zhe Guo

Publications (6)4.63 Total impact

• Article: 3D face recognition based on principal axes registration and fusing features

  Hongxia Zhang, Yanning Zhang, Zhe Guo, Zenggang Lin, Chao Zhang
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  ABSTRACT: A 3D face recognition approach which uses principal axes registration (PAR) and three face representation features from the re-sampling depth image: Eigenfaces, Fisherfaces and Zernike moments is presented. The approach addresses the issue of 3D face registration instantly achieved by PAR. Because each facial feature has its own advantages, limitations and scope of use, different features will complement each other. Thus the fusing features can learn more expressive characterizations than a single feature. The support vector machine (SVM) is applied for classification. In this method, based on the complementarity between different features, weighted decision-level fusion makes the recognition system have certain fault tolerance. Experimental results show that the proposed approach achieves superior performance with the rank-1 recognition rate of 98.36% for GavabDB database. Keywords3D face recognition–principal axes registration (PAR)–fusion feature–weighted voting
  Frontiers of Electrical and Electronic Engineering in China 04/2012; 6(2):347-352.
• Article: 2D representation of facial surfaces for multi-pose 3D face recognition.

  Yanning Zhang, Zhe Guo, Yong Xia, Zenggang Lin, David Dagan Feng
  Pattern Recognition Letters. 01/2012; 33:530-536.
• Conference Proceeding: An Efficiently 3D Face Recognizing Method Using Range Image and Sparse Representation

  Chao Zhang, Yanning Zhang, Zenggang Lin, Zhe Guo
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  ABSTRACT: In order to eliminate the effect of the facial expression and illumination condition, as well as to speed up the recognition procedure, we propose a face recognition approach based on sparse representation. First, preprocessing and segmenting the face area from three dimensional (3D) face scans, we also apply coarse to fine registration to ensure the alignment of range images; second, mapping the 3D model to range image through a kind of geometry-based resampling method; finally, employ sparse representation classification method to identify 3D face. The experiment results in actual 3D face database demonstrate the effectiveness of the proposed method.
  Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on; 01/2011
• Source

  Available from: Yong Xia

  Conference Proceeding: 3D face representation and recognition by Intrinsic Shape Description Maps

  Zhe Guo, Yanning Zhang, Yong Xia, Zenggang Lin, Dagan Feng
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  ABSTRACT: We present a novel method for 3D face recognition, in which the 3D facial surface is first mapped into a 2D domain with specified resolution through a global optimization by constrained conformal geometric maps. The Intrinsic Shape Description Map (ISDM) is then constructed through a modeling technique capable to express geometric and appearance information of the 3D face. Hence the 3D surface matching problem can be simplified to a 2D image matching problem, which greatly reduces the computational complexity. Finally, the Intrinsic Shape Description Feature (ISDF) of ISDM and the discrimination analysis can be calculated. Experimental results implemented on GavabDB demonstrate that our proposed method significantly outperforms the existing methods with respect to pose variation.
  Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on; 04/2010 · 4.63 Impact Factor
• Conference Proceeding: 3D face representation and recognition by Intrinsic Shape Description Maps.

  Zhe Guo, Yanning Zhang, Yong Xia, Zenggang Lin, David Dagan Feng
  Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA; 01/2010
• Conference Proceeding: A Method Based on Geometric Invariant Feature for 3D Face Recognition.

  Zhe Guo, Yanning Zhang, Zenggang Lin, David Dagan Feng
  Proceedings of the Fifth International Conference on Image and Graphics, ICIG 2009, Xi'an, Shanxi, China, 20-23 September 2009; 01/2009