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» Adaptation of SIFT Features for Robust Face Recognition
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ISVC
2007
Springer
15 years 3 months ago
Feature-Adaptive Motion Energy Analysis for Facial Expression Recognition
In this paper, we present a facial expression recognition method using feature-adaptive motion energy analysis. Our method is simplicityoriented and avoids complicated face model r...
Sungkyu Noh, Hanhoon Park, Yoonjong Jin, Jong-Il P...
ICASSP
2011
IEEE
14 years 1 months ago
Maximum likelihood adaptation of histogram equalization with constraint for robust speech recognition
In this paper, we propose a novel feature space adaptation technique to improve the robustness of speech recognition in noisy environments. Histogram equalization (HEQ) is an effe...
Xiong Xiao, Jinyu Li, Engsiong Chng, Haizhou Li
AMFG
2005
IEEE
327views Biometrics» more  AMFG 2005»
15 years 3 months ago
AdaBoost Gabor Fisher Classifier for Face Recognition
This paper proposes the AdaBoost Gabor Fisher Classifier (AGFC) for robust face recognition, in which a chain AdaBoost learning method based on Bootstrap re-sampling is proposed an...
Shiguang Shan, Peng Yang, Xilin Chen, Wen Gao
ICIP
2001
IEEE
15 years 11 months ago
Face modeling for recognition
3D Human face models have been widely used in applications such as face recognition, facial expression recognition, human action recognition, head tracking, facial animation, vide...
Rein-Lien Hsu, Anil K. Jain
ICPR
2006
IEEE
15 years 10 months ago
Rotation-Invariant Neoperceptron
Approaches based on local features and descriptors are increasingly used for the task of object recognition due to their robustness with regard to occlusions and geometrical defor...
Beat Fasel, Daniel Gatica-Perez