Large scale unconstrained open set face database

@article{Sapkota2013LargeSU,
  title={Large scale unconstrained open set face database},
  author={Archana Sapkota and Terrance E. Boult},
  journal={2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)},
  year={2013},
  pages={1-8}
}
  • Archana Sapkota, T. Boult
  • Published 1 September 2013
  • Computer Science
  • 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
This paper addresses large scale, unconstrained, open set face recognition, which exhibits the properties of operational face recognition scenarios. Most of the existing face recognition databases have been designed under controlled conditions or have been constructed from the images collected from the web. Face images collected from the web are less constrained than a mug-shot like collection. However, they lack information about the imaging conditions and have no operational paradigm. In… 

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