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ICCV
2011
IEEE
8 years 7 months ago
Maximizing All Margins: Pushing Face Recognition with Kernel Plurality
We present two theses in this paper: First, performance of most existing face recognition algorithms improves if instead of the whole image, smaller patches are individually class...
Ritwik Kumar, Arunava Banerjee, CISE, Univ, Baba V...
PAMI
2011
8 years 10 months ago
Meta-Recognition: The Theory and Practice of Recognition Score Analysis
Abstract—In this paper, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its post-recognition score ...
Walter J. Scheirer, Anderson Rocha, Ross J. Michea...
TIFS
2010
94views more  TIFS 2010»
9 years 5 months ago
Plastic surgery: a new dimension to face recognition
Abstract—Advancement and affordability is leading to popularity of plastic surgery procedures. Facial plastic surgery can be reconstructive to correct facial feature anomalies or...
Richa Singh, Mayank Vatsa, Himanshu S. Bhatt, Sama...
TSMC
2008
198views more  TSMC 2008»
9 years 7 months ago
Representation Plurality and Fusion for 3-D Face Recognition
In this paper, we present an extensive study of 3-D face recognition algorithms and examine the benefits of various score-, rank-, and decision-level fusion rules. We investigate f...
Berk Gökberk, Helin Dutagaci, A. Ulas, Lale A...
DICTA
2003
9 years 8 months ago
Face Recognition Based on Multiple Region Features
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...
Jiaming Li, Geoff Poulton, Ying Guo, Rong-yu Qiao
ATAL
2006
Springer
9 years 10 months ago
MLBP: MAS for large-scale biometric pattern recognition
Abstract. Security systems can observe and hear almost anyone everywhere. However, it is impossible to employ an adequate number of human experts to analyze the information explosi...
Ram Meshulam, Shulamit Reches, Aner Yarden, Sarit ...
ICCV
2007
IEEE
9 years 11 months ago
Probabilistic Linear Discriminant Analysis for Inferences About Identity
Many current face recognition algorithms perform badly when the lighting or pose of the probe and gallery images differ. In this paper we present a novel algorithm designed for th...
Simon J. D. Prince, James H. Elder
FGR
2002
IEEE
186views Biometrics» more  FGR 2002»
9 years 12 months ago
Meta-Analysis of Face Recognition Algorithms
To obtain a quantitative assessment of the state of automatic face recognition, we performed a metaanalysis of performance results of face recognition algorithms in the literature...
P. Jonathon Phillips, Elaine M. Newton
AVBPA
2003
Springer
235views Biometrics» more  AVBPA 2003»
10 years 7 days ago
Expression-Invariant 3D Face Recognition
We present a novel 3D face recognition approach based on geometric invariants introduced by Elad and Kimmel. The key idea of the proposed algorithm is a representation of the facia...
Alexander M. Bronstein, Michael M. Bronstein, Ron ...
AVBPA
2003
Springer
147views Biometrics» more  AVBPA 2003»
10 years 7 days ago
An Image Preprocessing Algorithm for Illumination Invariant Face Recognition
Face recognition algorithms have to deal with significant amounts of illumination variations between gallery and probe images. State-of-the-art commercial face recognition algori...
Ralph Gross, Vladimir Brajovic
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