A clustered locally linear approach on face manifolds for pose estimation

@article{HariC2016ACL,
  title={A clustered locally linear approach on face manifolds for pose estimation},
  author={V. HariC. and Praveen Sankaran},
  journal={Pattern Analysis and Applications},
  year={2016},
  volume={20},
  pages={1169-1178}
}
Data points with small variations between them are assumed to lie close to each other on a smooth varying manifold in the feature space. Such data are hard to classify into separate classes . A sequence of face pose images with closely varying pose angles can be considered as such data. The pose angles when large enough create images that are largely… CONTINUE READING