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Multi-View Face Alignment Using 3D Shape Model for View Estimation

Summary: Multi-View Face Alignment Using 3D Shape Model for
View Estimation
Yanchao Su1
, Haizhou Ai1
, Shihong Lao2
Computer Science and Technology Department, Tsinghua University
Core Technology Center, Omron Corporation
Abstract. For multi-view face alignment (MVFA), the non-linear variation of
shape and texture, and the self-occlusion of facial feature points caused by view
change are the two major difficulties. The state-of-the-art MVFA methods are
essentially view-based approaches in which views are divided into several
categories such as frontal, half profile, full profile etc. and each of them has its
own model in MVFA. Therefore the view estimation problem becomes a
critical step in MVFA. In this paper, a MVFA method using 3D face shape
model for view estimation is presented in which the 3D shape model is used to
estimate the pose of the face thereby selecting its model and indicating its self-
occluded points. Experiments on different datasets are reported to show the


Source: Ai, Haizhou - Department of Computer Science and Technology, Tsinghua University


Collections: Computer Technologies and Information Sciences