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ISVC
2009
Springer
14 years 2 months ago
Probabilistic Facial Feature Extraction Using Joint Distribution of Location and Texture Information
Abstract. In this work, we propose a method which can extract critical points on a face using both location and texture information. This new approach can automatically learn featu...
Mustafa Berkay Yilmaz, Hakan Erdogan, Mustafa Unel
ISVC
2009
Springer
14 years 2 months ago
Reconstruction of Facial Shape from Freehand Multi-viewpoint Snapshots
We propose a method that can reconstruct both a 3D facial shape and camera poses from freehand multi-viewpoint snapshots. This method is based on Active Shape Model (ASM) using a f...
Seiji Suzuki, Hideo Saito, Masaaki Mochimaru
FGR
2008
IEEE
165views Biometrics» more  FGR 2008»
13 years 7 months ago
The significance of facial features for automatic sign language recognition
Although facial features are considered to be essential for humans to understand sign language, no prior research work has yet examined their significance for automatic sign langu...
Ulrich von Agris, Moritz Knorr, Karl-Friedrich Kra...
ICIP
2009
IEEE
14 years 8 months ago
Multi-modal Ear And Face Modeling And Recognition
In this paper we describe a multi-modal ear and face biometric system. The system is comprised of two components: a 3D ear recognition component and a 2D face recognition componen...
ICVGIP
2004
13 years 9 months ago
Facial Model Improvement Using 3D Texture Mapping Feedback
We present a method for improving a 3D facial model by interactive feedback of mapping a texture obtained from a 3D scanner. The method is based on extracting features from both 3...
Yongjie Liu, Anup Basu, Jong-Seong Kim