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FGR
2004
IEEE
118views Biometrics» more  FGR 2004»
15 years 4 months ago
Components for Face Recognition
We present a method for automatically learning a set of discriminatory facial components for face recognition. The algorithm performs an iterative growing of components starting w...
Bernd Heisele, Takamasa Koshizen
86
Voted
IVC
2006
120views more  IVC 2006»
15 years 23 days ago
Face recognition by fusing thermal infrared and visible imagery
Thermal infrared (IR) imagery offers a promising alternative to visible imagery for face recognition due to its relative insensitive to variations in face appearance caused by ill...
George Bebis, Aglika Gyaourova, Saurabh Singh, Ioa...
129
Voted
PR
2006
113views more  PR 2006»
15 years 21 days ago
Face recognition from a single image per person: A survey
One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for...
Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zh...
112
Voted
PR
2008
115views more  PR 2008»
15 years 22 days ago
Fractional order singular value decomposition representation for face recognition
Face Representation (FR) plays a typically important role in face recognition and methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) have be...
Jun Liu, Songcan Chen, Xiaoyang Tan
127
Voted
ACCV
2010
Springer
14 years 7 months ago
Randomised Manifold Forests for Principal Angle-Based Face Recognition
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan