Improving Cross-Resolution Face Matching Using Ensemble-Based Co-Transfer Learning

@article{Bhatt2014ImprovingCF,
  title={Improving Cross-Resolution Face Matching Using Ensemble-Based Co-Transfer Learning},
  author={Himanshu S. Bhatt and Richa Singh and Mayank Vatsa and Nalini K. Ratha},
  journal={IEEE Transactions on Image Processing},
  year={2014},
  volume={23},
  pages={5654-5669}
}
Face recognition algorithms are generally trained for matching high-resolution images and they perform well for similar resolution test data. However, the performance of such systems degrades when a low-resolution face image captured in unconstrained settings, such as videos from cameras in a surveillance scenario, are matched with high-resolution gallery images. The primary challenge, here, is to extract discriminating features from limited biometric content in low-resolution images and match… CONTINUE READING

18 Figures & Tables

Topics

Statistics

01020201620172018
Citations per Year

Citation Velocity: 12

Averaging 12 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.