Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2003.07e
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- Pages.2000-2003
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- 2003
Pose Invariant 3D Face Recognition
포즈 변화에 강인한 3차원 얼굴인식
Abstract
This paper presents a three-dimensional (3D) head pose estimation algorithm for robust face recognition. Given a 3D input image, we automatically extract several important 3D facial feature points based on the facial geometry. To estimate 3D head pose accurately, we propose an Error Compensated-SVD (EC-SVD) algorithm. We estimate the initial 3D head pose of an input image using Singular Value Decomposition (SVD) method, and then perform a Pose refinement procedure in the normalized face space to compensate for the error for each axis. Experimental results show that the proposed method is capable of estimating pose accurately, therefore suitable for 3D face recognition.
Keywords