Acta Optica Sinica, Volume. 38, Issue 2, 0210004(2018)

Robust and Precise Affine Registration for Faces Based on Fast Affine Template Matching and Modified Affine Iterative Closet Point Algorithm

Liyang Wu1、*, Lei Xiong1, Shaoyi Du2, Duyan Bi1, and Ting Fang1
Author Affiliations
  • 1 Aeronautics Engineering College, Air Force Engineering University, Xi'an, Shaanxi 710038, China
  • 2 Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
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    Figures & Tables(9)
    Two similarity measure point set sampling methods. (a) Proposed method; (b) Fast-match algorithm
    Annotation order of 42 facial feature points
    Partial affine registration effect graphs for different face registration algorithms. (a) Rotate 90°; (b) Rotate 0°; (c) shrink to the half; (d) Rotate 45° and expand to 1.5 times
    Partial affine registration results for different face registration algorithms
    Face affine registration effect graphs of FSFR algorithm with different Gaussian noise interferences. (a) Template face image; (b) variance of 0.01; (c) variance of 0.05; (d) variance of 0.1; (e) variance of 0.2; (f) variance of 0.4; (g) variance of 0.6; (h) variance of 0.8; (i) variance of 1.0
    Face affine registration error curves of FSFR algorithm with different constraint coefficients
    Face affine registration effect graphs of FSFR algorithm with different constraint coefficients. (a) α=0; (b) α=0.5; (c) α=1; (d) α=1.5; (e) α=2; (f) α=2/k
    • Table 1. Affine registration results for different face registration algorithms

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      Table 1. Affine registration results for different face registration algorithms

      AlgorithmAFARESuccess rate /%Registration time /s
      SIFT[17]0.051977.7834.6940
      SURF[18]0.299044.449.1800
      ORB[20]0.176348.424.5140
      Fast-match[13]0.067747.2261.6080
      FSFR0.0230100.0030.0216
    • Table 2. Face affine registration error results for different face registration algorithms with different Gaussian noise interferences

      View table

      Table 2. Face affine registration error results for different face registration algorithms with different Gaussian noise interferences

      Variance of Gaussian noise interferencesFARE
      SIFT[17]algorithmSURF[18]algorithmORB[20]algorithmFast-match[13]algorithmFSFR algorithm
      0.010.03680.04080.05120.05710.0323
      0.050.04910.05590.81950.05880.0475
      0.10.82310.05581.06040.06360.0551
      0.20.74120.06791.00060.06890.0637
      0.41.67630.95791.18370.07420.0713
      0.61.67631.16501.31540.08470.0781
      0.81.67632.47501.00200.09740.0936
      1.01.67633.88651.70440.46230.4636
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    Liyang Wu, Lei Xiong, Shaoyi Du, Duyan Bi, Ting Fang. Robust and Precise Affine Registration for Faces Based on Fast Affine Template Matching and Modified Affine Iterative Closet Point Algorithm[J]. Acta Optica Sinica, 2018, 38(2): 0210004

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    Paper Information

    Category: Image Processing

    Received: Jun. 16, 2017

    Accepted: --

    Published Online: Aug. 30, 2018

    The Author Email: Wu Liyang (asdf2008808@163.com)

    DOI:10.3788/AOS201838.0210004

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