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» Face Recognition Using Sift Features
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CVPR
2005
IEEE
15 years 12 months ago
Creating Invariance to "Nuisance Parameters" in Face Recognition
A major goal for face recognition is to identify faces where the pose of the probe is different from the stored face. Typical feature vectors vary more with pose than with identit...
Simon J. D. Prince, James H. Elder
PAMI
1998
145views more  PAMI 1998»
14 years 9 months ago
An Analytic-to-Holistic Approach for Face Recognition Based on a Single Frontal View
—In this paper, we propose an analytic-to-holistic approach which can identify faces at different perspective variations. The database for the test consists of 40 frontal-view fa...
Kin-Man Lam, Hong Yan
MVA
2000
119views Computer Vision» more  MVA 2000»
14 years 11 months ago
Feature Ordering by Cross Validation for Face Detection
This paper presents the method to determine the order of feature (attention) points for face detection. The order of feature points is determined in terms of the classification ab...
Takio Kurita, Kazuhiro Hotta, Taketoshi Mishima
PR
2007
145views more  PR 2007»
14 years 9 months ago
Face recognition using a kernel fractional-step discriminant analysis algorithm
Feature extraction is among the most important problems in face recognition systems. In this paper, we propose an enhanced kernel discriminant analysis (KDA) algorithm called kern...
Guang Dai, Dit-Yan Yeung, Yuntao Qian
ICMCS
2008
IEEE
330views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Automatic trademark detection and recognition in sport videos
In this paper we describe a system for automatic detection and recognition of trademarks in sports videos. We propose a compact representation of trademarks based on SIFT feature ...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...