Towards fitting a 3D dense facial model to a 2D image: A landmark-free approach

Yuhang Wu; Xiang Xu; Shishir K. Shah; Ioannis A. Kakadiaris

doi:10.1109/BTAS.2015.7358799

Towards fitting a 3D dense facial model to a 2D image: A landmark-free approach

Yuhang Wu, Xiang Xu, Shishir K. Shah, Ioannis A. Kakadiaris

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Head pose estimation helps to align a 3D face model to a 2D image, which is critical to research requiring dense 2D-to-2D or 3D-to-2D correspondence. Traditional pose estimation relies strongly on the accuracy of landmarks, so it is sensitive to missing or incorrect landmarks. In this paper, we propose a landmark-free approach to estimate the pose projection matrix. The method can be used to estimate this matrix in unconstrained scenarios and we demonstrate its effectiveness through multiple head pose estimation experiments.

Original language	English (US)
Title of host publication	2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479987764
DOIs	https://doi.org/10.1109/BTAS.2015.7358799
State	Published - Dec 16 2015
Event	7th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2015 - Arlington, United States Duration: Sep 8 2015 → Sep 11 2015

Publication series

Name	2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015

Conference

Conference	7th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2015
Country/Territory	United States
City	Arlington
Period	9/8/15 → 9/11/15

ASJC Scopus subject areas

Statistics and Probability
Computer Science Applications
Biomedical Engineering

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10.1109/BTAS.2015.7358799

Cite this

Wu, Y., Xu, X., Shah, S. K., & Kakadiaris, I. A. (2015). Towards fitting a 3D dense facial model to a 2D image: A landmark-free approach. In 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015 Article 7358799 (2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BTAS.2015.7358799

Towards fitting a 3D dense facial model to a 2D image: A landmark-free approach. / Wu, Yuhang; Xu, Xiang; Shah, Shishir K. et al.
2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7358799 (2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wu, Y, Xu, X, Shah, SK & Kakadiaris, IA 2015, Towards fitting a 3D dense facial model to a 2D image: A landmark-free approach. in 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015., 7358799, 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015, Institute of Electrical and Electronics Engineers Inc., 7th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2015, Arlington, United States, 9/8/15. https://doi.org/10.1109/BTAS.2015.7358799

Wu Y, Xu X, Shah SK, Kakadiaris IA. Towards fitting a 3D dense facial model to a 2D image: A landmark-free approach. In 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7358799. (2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015). doi: 10.1109/BTAS.2015.7358799

Wu, Yuhang ; Xu, Xiang ; Shah, Shishir K. et al. / Towards fitting a 3D dense facial model to a 2D image : A landmark-free approach. 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015).

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AB - Head pose estimation helps to align a 3D face model to a 2D image, which is critical to research requiring dense 2D-to-2D or 3D-to-2D correspondence. Traditional pose estimation relies strongly on the accuracy of landmarks, so it is sensitive to missing or incorrect landmarks. In this paper, we propose a landmark-free approach to estimate the pose projection matrix. The method can be used to estimate this matrix in unconstrained scenarios and we demonstrate its effectiveness through multiple head pose estimation experiments.

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Towards fitting a 3D dense facial model to a 2D image: A landmark-free approach

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