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» Learning the Face Space - Representation and Recognition
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TIP
2008
287views more  TIP 2008»
14 years 9 months ago
3-D Object Recognition Using 2-D Views
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
Wenjing Li, George Bebis, Nikolaos G. Bourbakis
ECCV
2008
Springer
15 years 11 months ago
Grassmann Registration Manifolds for Face Recognition
Abstract. Motivated by image perturbation and the geometry of manifolds, we present a novel method combining these two elements. First, we form a tangent space from a set of pertur...
Yui Man Lui, J. Ross Beveridge
FGR
2004
IEEE
159views Biometrics» more  FGR 2004»
15 years 1 months ago
Null Space-based Kernel Fisher Discriminant Analysis for Face Recognition
The null space-based LDA takes full advantage of the null space while the other methods remove the null space. It proves to be optimal in performance. From the theoretical analysi...
Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan
FGR
2008
IEEE
288views Biometrics» more  FGR 2008»
15 years 4 months ago
Face recognition with temporal invariance: A 3D aging model
The variation caused by aging has not received adequate attention compared with pose, lighting, and expression variations. Aging is a complex process that affects both the 3D shap...
Unsang Park, Yiying Tong, Anil K. Jain
ICB
2007
Springer
208views Biometrics» more  ICB 2007»
15 years 3 months ago
Face Matching Between Near Infrared and Visible Light Images
Abstract. In many applications, such as E-Passport and driver’s license, the enrollment of face templates is done using visible light (VIS) face images. Such images are normally ...
Dong Yi, Rong Liu, Rufeng Chu, Zhen Lei, Stan Z. L...