Image Set-Based Collaborative Representation for Face Recognition

@article{Zhu2014ImageSC,
  title={Image Set-Based Collaborative Representation for Face Recognition},
  author={Pengfei Zhu and W. Zuo and Lei Zhang and S. Shiu and D. Zhang},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2014},
  volume={9},
  pages={1120-1132}
}
  • Pengfei Zhu, W. Zuo, +2 authors D. Zhang
  • Published 2014
  • Computer Science
  • IEEE Transactions on Information Forensics and Security
  • With the rapid development of digital imaging and communication technologies, image set-based face recognition (ISFR) is becoming increasingly important. One key issue of ISFR is how to effectively and efficiently represent the query face image set using the gallery face image sets. The set-to-set distance-based methods ignore the relationship between gallery sets, whereas representing the query set images individually over the gallery sets ignores the correlation between query set images. In… CONTINUE READING
    Fast and Accurate Face Recognition with Image Sets
    • 8
    • PDF
    Group Collaborative Representation for Image Set Classification
    • 7
    • Highly Influenced
    • PDF
    Query set centered sparse projection learning for set based image classification
    • 1
    • Highly Influenced
    Image set-based classification using collaborative exemplars representation
    Joint representation classification for collective face recognition
    • 15
    • PDF
    Patch-Set-Based Representation for Alignment-Free Image Set Classification
    • 6
    • Highly Influenced
    • PDF

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 90 REFERENCES