Sciweavers

Share
ICIP
2004
IEEE

Separating useful from useless image variation for face recognition

11 years 1 months ago
Separating useful from useless image variation for face recognition
For a general purpose face recognition system one of the largest challenge is to separate useful identity related from useless variations in the image data due to nuisance variables such as: orientation, lighting, expression, possible disguise. A recognition system is presented in which the effect of the secondary/nuisance variables is to a large degree accounted for before the matching process even begins. Greatly improved performance is shown on a large database of faces in 42 conditions.
Peter Kalocsai
Added 24 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2004
Where ICIP
Authors Peter Kalocsai
Comments (0)
books