Biometrics on visual preferences: A “pump and distill” regression approach

@article{Segalin2014BiometricsOV,
  title={Biometrics on visual preferences: A “pump and distill” regression approach},
  author={Cristina Segalin and Alessandro Perina and Marco Cristani},
  journal={2014 IEEE International Conference on Image Processing (ICIP)},
  year={2014},
  pages={4982-4986}
}
We present a statistical behavioural biometric approach for recognizing people by their aesthetic preferences, using colour images. In the enrollment phase, a model is learnt for each user, using a training set of preferred images. In the recognition/authentication phase, such model is tested with an unseen set of pictures preferred by a probe subject. The approach is dubbed “pump and distill”, since the training set of each user is pumped by bagging, producing a set of image ensembles. In the… CONTINUE READING