Results 91 to 100 of about 123,245 (174)

A Multifactor Extension of Linear Discriminant Analysis for Face Recognition under Varying Pose and Illumination

open access: yesEURASIP Journal on Advances in Signal Processing, 2010
Linear Discriminant Analysis (LDA) and Multilinear Principal Component Analysis (MPCA) are leading subspace methods for achieving dimension reduction based on supervised learning. Both LDA and MPCA use class labels of data samples to calculate subspaces
Park SungWon, Savvides Marios
doaj  

AN ILLUMINATION INVARIANT FACE RECOGNITION BY ENHANCED CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION

open access: yesICTACT Journal on Image and Video Processing, 2016
Face recognition system is gaining more importance in social networks and surveillance. The face recognition task is complex due to the variations in illumination, expression, occlusion, aging and pose.
A. Thamizharasi, J.S. Jayasudha
doaj  

Covariate-invariant gait recognition using random subspace method and its extensions [PDF]

open access: yes
Compared with other biometric traits like fingerprint or iris, the most significant advantage of gait is that it can be used for remote human identification without cooperation from the subjects. The technology of gait recognition may play an important role in crime prevention, law enforcement, etc. Yet the performance of automatic gait recognition may
openaire  

A Novel, Variance Component-Based Method for Detecting Brain-Behavior Associations in Neuroimaging Data. [PDF]

open access: yesStat Data Sci Imaging
Chen C   +5 more
europepmc   +1 more source

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