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» Locating Facial Features with an Extended Active Shape Model
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FGR
2006
IEEE
173views Biometrics» more  FGR 2006»
13 years 11 months ago
Facial Feature Detection and Tracking with Automatic Template Selection
We describe an accurate and robust method of locating facial features. The method utilises a set of feature templates in conjunction with a shape constrained search technique. The...
David Cristinacce, Timothy F. Cootes
FGR
2004
IEEE
170views Biometrics» more  FGR 2004»
13 years 9 months ago
3D Shape Constraint for Facial Feature Localization Using Probabilistic-like Output
This paper presents a method to automatically locate facial feature points under large variations in pose, illumination and facial expressions. First we propose a method to calcul...
Longbin Chen, Lei Zhang, HongJiang Zhang, Mohamed ...
CIRA
2007
IEEE
188views Robotics» more  CIRA 2007»
13 years 9 months ago
Facial Identity and Expression Recognition by using Active Appearance Model with Efficient Second Order Minimization and Neural
This paper proposes a technique for real-time recognition of facial Identity and expression which uses the active appearance model (AAM) with efficient second order minimization al...
Hyun-Chul Choi, Se-Young Oh
FGR
2011
IEEE
201views Biometrics» more  FGR 2011»
12 years 9 months ago
Sparse shape registration for occluded facial feature localization
Abstract— This paper proposes a sparsity driven shape registration method for occluded facial feature localization. Most current shape registration methods search landmark locati...
Fei Yang, Junzhou Huang, Dimitris N. Metaxas
ACII
2005
Springer
13 years 7 months ago
The Bunch-Active Shape Model
Active Shape Model (ASM) is one of the most powerful statistical tools for face image alignment. In this paper, we propose a novel method, called Bunch-Active Shape Model (Bunch-AS...
Jingcai Fan, Hongxun Yao, Wen Gao, Yazhou Liu, Xin...