Journal of Applied Optics, Volume. 44, Issue 3, 565(2023)

Method for cross-age face recognition based on identity-age sharing features

Zikang ZHANG1... Songfeng YIN2,*, Liangcai CAO3 and Cheng LIU2 |Show fewer author(s)
Author Affiliations
  • 1School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601, China
  • 2Hefei Institute for Public Safety Research, Tsinghua University, Hefei 230601, China
  • 3State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Beijing 100084, China
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    Figures & Tables(8)
    Model framework of age-invariant face recognition
    Deep feature decoupling-coupled learning framework
    Structure diagram of SFE
    Structure diagram of VRM
    Examples of test
    • Table 1. Adopted data sets

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      Table 1. Adopted data sets

      DatasetsIdentityImages
      MS1MV2[3]857425774205
      AgeDB-30[19]6000 pairs12000
      CACD-VS[20]4000 pairs8000
      CALFW[21]6000 pairs12000
      LFW[22]6000 pairs12000
    • Table 2. Accuracy of different methods on four data setsAcc/%

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      Table 2. Accuracy of different methods on four data setsAcc/%

      MethodAgeDB-30[19]CACD-VS[20]CALFW[21]LFW[22]
      DAL[9]95.9899.4099.47
      MTLFace[10]96.2399.5595.6299.52
      ISF(Our)97.0799.5895.7399.73
    • Table 3. Ablation testAcc/%

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      Table 3. Ablation testAcc/%

      ModelAgeDB-30CACD-VSCALFW
      Baseline96.2399.1495.27
      Baseline + Age96.2599.1895.30
      ISF(Our)97.0799.5895.73
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    Zikang ZHANG, Songfeng YIN, Liangcai CAO, Cheng LIU. Method for cross-age face recognition based on identity-age sharing features[J]. Journal of Applied Optics, 2023, 44(3): 565

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    Paper Information

    Category: Research Articles

    Received: Aug. 22, 2022

    Accepted: --

    Published Online: Jun. 19, 2023

    The Author Email: YIN Songfeng (yinsongfeng@tsinghua-hf.edu.cn)

    DOI:10.5768/JAO202344.0302004

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