Pose-Independent Face Recognition Using Biologically Inspired Feature Set and Mixture of Experts

2014 ◽  
Vol 6 (9) ◽  
pp. 27-34
Author(s):  
Reza Azad
Keyword(s):  
Face Recognition ◽  
Mixture Of Experts ◽  
Biologically Inspired

BIOLOGICALLY INSPIRED FACE RECOGNITION: TOWARD POSE-INVARIANCE

2012 ◽  
Vol 22 (06) ◽  
pp. 1250029 ◽  
Author(s):  
NOEL TAY NUO WI ◽  
CHU KIONG LOO ◽  
LETCHUMANAN CHOCKALINGAM
Keyword(s):  
Face Recognition ◽  
Visual System ◽  
Striate Cortex ◽  
Visual Pathway ◽  
Biologically Inspired ◽  
Scaling Invariance ◽  
Stage Models ◽  
Small Change

A small change in image will cause a dramatic change in signals. Visual system is required to be able to ignore these changes, yet specific enough to perform recognition. This work intends to provide biological-backed insights into 2D translation and scaling invariance and 3D pose-invariance without imposing strain on memory and with biological justification. The model can be divided into lower and higher visual stages. Lower visual stage models the visual pathway from retina to the striate cortex (V1), whereas the modeling of higher visual stage is mainly based on current psychophysical evidences.

Improving mixture of experts for view-independent face recognition using teacher-directed learning

2009 ◽  
Vol 22 (2) ◽  
pp. 421-432 ◽  
Author(s):  
Reza Ebrahimpour ◽  
Ehsanollah Kabir ◽  
Mohammad Reza Yousefi
Keyword(s):  
Face Recognition ◽  
Mixture Of Experts ◽  
Directed Learning

View-independent face recognition with Mixture of Experts

2008 ◽  
Vol 71 (4-6) ◽  
pp. 1103-1107 ◽  
Author(s):  
Reza Ebrahimpour ◽  
Ehsanollah Kabir ◽  
Hossein Esteky ◽  
Mohammad Reza Yousefi
Keyword(s):  
Face Recognition ◽  
Mixture Of Experts
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