3D face pose estimation by a robust real time tracking of facial features

@article{Chun20163DFP,
  title={3D face pose estimation by a robust real time tracking of facial features},
  author={Junchul Chun and Wonggi Kim},
  journal={Multimedia Tools and Applications},
  year={2016},
  volume={75},
  pages={15693-15708},
  url={https://api.semanticscholar.org/CorpusID:34893627}
}
A new 3D head pose estimating approach based on real-time facial feature tracking and facial feature recovering method which copes with the surrounding light variation and various occlusion and produces reliable result in head pose estimation.
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5 Citations
Background Citations
1
Methods Citations
2

5 Citations

Head Pose Estimation through Keypoints Matching between Reconstructed 3D Face Model and 2D Image

A method which does not need to be trained with head pose labels, but matches the keypoints between a reconstructed 3D face model and the 2D input image, for head pose estimation that achieves excellent cross-dataset performance and surpasses most of the existing state-of-the-art approaches.

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This thesis aims to contribute to the development of robust and accurate HPE methods based on 2D tracking of the face in videos by addressing the pose estimation problem from a general perspective.

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This special issue presents and reports on the construction and analysis of large-scale multimedia data sets and resources, and provides a strong reference for multimedia researchers interested in large- scale multimedia data set creation and analysis.

Classification of Disaster Risks in the Philippines using Adaptive Boosting Algorithm with Decision Trees and Support Vector Machine as Based Estimators

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A Real-Time Health Monitoring System with Wearables and Ensemble Learning

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