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» Joint Boosting Feature Selection for Robust Face Recognition
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ICPR
2008
IEEE
14 years 8 months ago
Selecting relevant features for human motion recognition
Recently, there is a growing interest in automatic recognition of human motion for applications, such as humanoid robots, human activity monitoring, and surveillance. In this pape...
Dirk Gehrig, Tanja Schultz
FGR
2008
IEEE
184views Biometrics» more  FGR 2008»
14 years 2 months ago
Multi-attribute robust facial feature localization
In this paper, we focus on the reliable detection of facial fiducial points, such as eye, eyebrow and mouth corners. The proposed algorithm aims to improve automatic landmarking ...
Oya Çeliktutan, Hatice Cinar Akakin, Bü...
AMFG
2007
IEEE
283views Biometrics» more  AMFG 2007»
13 years 11 months ago
Learning Personal Specific Facial Dynamics for Face Recognition from Videos
In this paper, we present an effective approach for spatiotemporal face recognition from videos using an Extended set of Volume LBP (Local Binary Pattern features) and a boosting s...
Abdenour Hadid, Matti Pietikäinen, Stan Z. Li
BMVC
2010
13 years 5 months ago
Robust 3D Face Recognition by Using Shape Filtering
Achieving high accuracy in the presence of expression variation remains one of the most challenging aspects of 3D face recognition. In this paper, we propose a novel recognition a...
Liang Cai, Feipeng Da
ISVC
2007
Springer
14 years 1 months ago
Boosting with Temporal Consistent Learners: An Application to Human Activity Recognition
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...