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» Adaptation of SIFT Features for Robust Face Recognition
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ICIP
2009
IEEE
14 years 7 months ago
A food image recognition system with Multiple Kernel Learning
Since health care on foods is drawing people's attention recently, a system that can record everyday meals easily is being awaited. In this paper, we propose an automatic foo...
Taichi Joutou, Keiji Yanai
ICIP
2008
IEEE
15 years 4 months ago
Learning efficient codes for 3D face recognition
Face representation based on the Visual Codebook becomes popular because of its excellent recognition performance, in which the critical problem is how to learn the most efficien...
Cheng Zhong, Zhenan Sun, Tieniu Tan
FGR
2011
IEEE
227views Biometrics» more  FGR 2011»
14 years 1 months ago
Warp that smile on your face: Optimal and smooth deformations for face recognition
— In this work, we present novel warping algorithms for full 2D pixel-grid deformations for face recognition. Due to high variation in face appearance, face recognition is consid...
Tobias Gass, Leonid Pishchulin, Philippe Dreuw, He...
ECCV
2004
Springer
15 years 11 months ago
Face Recognition with Local Binary Patterns
In this work, we present a novel approach to face recognition which considers both shape and texture information to represent face images. The face area is first divided into small...
Abdenour Hadid, Matti Pietikäinen, Timo Ahone...
INTERSPEECH
2010
14 years 4 months ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero