A coarse-to-fine curvature analysis-based rotation invariant 3D face landmarking

@article{Szeptycki2009ACC,
  title={A coarse-to-fine curvature analysis-based rotation invariant 3D face landmarking},
  author={Przemyslaw Szeptycki and Mohsen Ardabilian and Liming Chen},
  journal={2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems},
  year={2009},
  pages={1-6}
}
Automatic 2.5D face landmarking aims at locating facial feature points on 2.5D face models, such as eye corners, nose tip, etc. and has many applications ranging from face registration to facial expression recognition. In this paper, we propose a rotation invariant 2.5D face landmarking solution based on facial curvature analysis combined with a generic 2.5D face model and make use of a coarse-to-fine strategy for more accurate facial feature points localization. Experimented on more than 1600… CONTINUE READING
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