Deep Sketch-Photo Face Recognition Assisted by Facial Attributes

@article{Iranmanesh2018DeepSF,
  title={Deep Sketch-Photo Face Recognition Assisted by Facial Attributes},
  author={S. M. Iranmanesh and Hadi Kazemi and Sobhan Soleymani and Ali Dabouei and N. Nasrabadi},
  journal={2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS)},
  year={2018},
  pages={1-10}
}
  • S. M. Iranmanesh, Hadi Kazemi, +2 authors N. Nasrabadi
  • Published 2018
  • Computer Science
  • 2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS)
  • In this paper, we present a deep coupled framework to address the problem of matching sketch image against a gallery of mugshots. Face sketches have the essential information about the spatial topology and geometric details of faces while missing some important facial attributes such as ethnicity, hair, eye, and skin color. We propose a coupled deep neural network architecture which utilizes facial attributes in order to improve the sketch-photo recognition performance. The proposed Attribute… CONTINUE READING
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