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 est...Show MoreMetadata
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.
Published in: 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)
Date of Conference: 08-11 September 2015
Date Added to IEEE Xplore: 17 December 2015
ISBN Information: