An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification

@article{Lu2019AnEE,
  title={An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification},
  author={Boyu Lu and Jun-Cheng Chen and Carlos D. Castillo and R. Chellappa},
  journal={IEEE Transactions on Biometrics, Behavior, and Identity Science},
  year={2019},
  volume={1},
  pages={42-55}
}
  • Boyu Lu, Jun-Cheng Chen, +1 author R. Chellappa
  • Published 2019
  • Computer Science
  • IEEE Transactions on Biometrics, Behavior, and Identity Science
  • Covariates are factors that have a debilitating influence on face verification performance. [...] Key Method In total, seven covariates are considered: pose (yaw and roll), age, facial hair, gender, indoor/outdoor, occlusion (nose and mouth visibility, and forehead visibility), and skin tone. We first report the performance of each individual network on the overall protocol and use the score-level fusion method to analyze each covariate. Some of the results confirm and extend the findings of previous studies…Expand Abstract
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