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» Using Component Features for Face Recognition
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WSCG
2004
188views more  WSCG 2004»
15 years 3 months ago
Recognition of Motor Imagery Electroencephalography Using Independent Component Analysis and Machine Classifiers
Motor imagery electroencephalography (EEG), which embodies cortical potentials during mental simulation of left or right finger lifting tasks, can be used as neural input signals ...
Chih-I. Hung, Po-Lei Lee, Yu-Te Wu, Hui-Yun Chen, ...
ICIP
2003
IEEE
16 years 4 months ago
Gesture recognition using position and appearance features
In this paper a scheme for recognizing hand gestures is presented using the output of a Condensation tracker. The tracker is used to obtain a set of features. These features consi...
Tushar Agrawal, Subhasis Chaudhuri
133
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BIOSIG
2007
170views Biometrics» more  BIOSIG 2007»
15 years 4 months ago
Privacy enhancing technology for a 3D-face recognition system
: 2D Face images are traditionally used in civil governmental applications. An extension from 2D to 3D images will lead to several advantages when setting up automated authenticati...
Xuebing Zhou, Tom A. M. Kevenaar, Emile Kelkboom, ...
185
Voted
ICCV
2007
IEEE
16 years 10 months ago
 A Component Based Deformable Model for Generalized Face Alignment
This paper presents a component based deformable model for generalized face alignment, in which a novel bistage statistical framework is proposed to account for both local and g...
Yuchi Huang, Qingshan Liu, Dimitris Metaxas
BVAI
2007
Springer
15 years 6 months ago
Recognition of Human Faces: From Biological to Artificial Vision
Face recognition is among the most challenging techniques for personal identity verification. Even though it is so natural for humans, there are still many hidden mechanisms which ...
Massimo Tistarelli, Linda Brodo, Andrea Lagorio, M...