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PR
2007
192views more  PR 2007»
13 years 8 months ago
Face detection with boosted Gaussian features
Detecting faces in images is a key step in numerous computer vision applications, such as face recognition or facial expression analysis. Automatic face detection is a difficult ...
Julien Meynet, Vlad Popovici, Jean-Philippe Thiran
FGR
2008
IEEE
234views Biometrics» more  FGR 2008»
14 years 3 months ago
Expression invariant 3D face recognition with a Morphable Model
We describe an expression-invariant method for face recognition by fitting an identity/expression separated 3D Morphable Model to shape data. The expression model greatly improve...
Brian Amberg, Reinhard Knothe, Thomas Vetter
ICPR
2008
IEEE
14 years 10 months ago
On averaging face images for recognition under pose variations
Recently, psychological studies showed that averaging human face images greatly improves the performance of face recognition under various pose, illumination, expression, and/or a...
Sanqiang Zhao, Xiaozheng Zhang, Yongsheng Gao
CVPR
2006
IEEE
14 years 3 months ago
3D Face Recognition Using 3D Alignment for PCA
This paper presents a 3D approach for recognizing faces based on Principal Component Analysis (PCA). The approach addresses the issue of proper 3D face alignment required by PCA f...
Trina Russ, Chris Boehnen, Tanya Peters
CGI
2004
IEEE
14 years 22 days ago
Face Recognition Using Computer-Generated Database
Many face database and recognition systems have been constructed in specially designed studios with various illuminations, poses, and expressions. However, none of these databases...
Won-Sook Lee, Kyung-Ah Sohn