Unconstrained Pose-Invariant Face Recognition Using 3D Generic Elastic Models

@article{Prabhu2011UnconstrainedPF,
  title={Unconstrained Pose-Invariant Face Recognition Using 3D Generic Elastic Models},
  author={Utsav Prabhu and Jingu Heo and Marios Savvides},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2011},
  volume={33},
  pages={1952-1961}
}
Classical face recognition techniques have been successful at operating under well-controlled conditions; however, they have difficulty in robustly performing recognition in uncontrolled real-world scenarios where variations in pose, illumination, and expression are encountered. In this paper, we propose a new method for real-world unconstrained pose-invariant face recognition. We first construct a 3D model for each subject in our database using only a single 2D image by applying the 3D Generic… CONTINUE READING
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