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» Face Recognition Using Sift Features
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MVA
2000
154views Computer Vision» more  MVA 2000»
14 years 9 months ago
A Face Recognition Algorithm Robust Against Illumination Variations Using 3-Dimensional Face Shape
The authors propose a face recognition algorithm robust against the illumination variations, using an average face shape. The objective of this paper is two-fold: (1) to propose a...
Hitoshi Imaoka, Shizuo Sakamoto
ESANN
2004
14 years 11 months ago
Face Recognition Using Recurrent High-Order Associative Memories
A novel face recognition approach is proposed, based on the use of compressed discriminative features and recurrent neural classifiers. Low-dimensional feature vectors are extract...
Iulian B. Ciocoiu
AVBPA
2005
Springer
316views Biometrics» more  AVBPA 2005»
15 years 3 months ago
Local Feature Based 3D Face Recognition
This paper presents a 3D face recognition system based on geometrically localized facial features. We propose the feature extraction procedure using the geometrical characteristics...
Yonguk Lee, Hwanjong Song, Ukil Yang, Hyungchul Sh...
BMVC
2001
15 years 7 days ago
Recognising Trajectories of Facial Identities Using Kernel Discriminant Analysis
We present a comprehensive approach to address three challenging problems in face recognition: modelling faces across multi-views, extracting the non-linear discriminating feature...
Yongmin Li, Shaogang Gong, Heather M. Liddell
ICCV
2001
IEEE
15 years 11 months ago
A Gabor Feature Classifier for Face Recognition
This paper describes a novel Gabor Feature Class$er (GFC)method forface recognition. The GFC method employs an enhanced Fisher discrimination model on an augmented Gabor feature v...
Chengjun Liu, Harry Wechsler