• Journal of Applied Optics
  • Vol. 44, Issue 3, 565 (2023)
Zikang ZHANG1, Songfeng YIN2,*, Liangcai CAO3, and Cheng LIU2
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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    DOI: 10.5768/JAO202344.0302004 Cite this Article
    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 Copy Citation Text show less
    Model framework of age-invariant face recognition
    Fig. 1. Model framework of age-invariant face recognition
    Deep feature decoupling-coupled learning framework
    Fig. 2. Deep feature decoupling-coupled learning framework
    Structure diagram of SFE
    Fig. 3. Structure diagram of SFE
    Structure diagram of VRM
    Fig. 4. Structure diagram of VRM
    Examples of test
    Fig. 5. Examples of test
    DatasetsIdentityImages
    MS1MV2[3]857425774205
    AgeDB-30[19]6000 pairs12000
    CACD-VS[20]4000 pairs8000
    CALFW[21]6000 pairs12000
    LFW[22]6000 pairs12000
    Table 1. Adopted data sets
    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 2. Accuracy of different methods on four data setsAcc/%
    ModelAgeDB-30CACD-VSCALFW
    Baseline96.2399.1495.27
    Baseline + Age96.2599.1895.30
    ISF(Our)97.0799.5895.73
    Table 3. Ablation testAcc/%
    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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