DocumentCode :
3638072
Title :
Confidence Weighted Subspace Projection Techniques for Robust Face Recognition in the Presence of Partial Occlusions
Author :
Vitomir Štruc;Simon Dobrisek;Nikola Pavesic
Author_Institution :
Fac. of Electr. Eng., Univ. of Ljubljana, Ljubljana, Slovenia
fYear :
2010
Firstpage :
1334
Lastpage :
1338
Abstract :
Subspace projection techniques are known to be susceptible to the presence of partial occlusions in the image data. To overcome this susceptibility, we present in this paper a confidence weighting scheme that assigns weights to pixels according to a measure, which quantifies the confidence that the pixel in question represents an outlier. With this procedure the impact of the occluded pixels on the subspace representation is reduced and robustness to partial occlusions is obtained. Next, the confidence weighting concept is improved by a local procedure for the estimation of the subspace representation. Both the global weighting approach and the local estimation procedure are assessed in face recognition experiments on the AR database, where encouraging results are obtained with partially occluded facial images.
Keywords :
"Pixel","Face","Robustness","Face recognition","Principal component analysis","Estimation","Glass"
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
ISSN :
1051-4651
Print_ISBN :
978-1-4244-7542-1
Type :
conf
DOI :
10.1109/ICPR.2010.331
Filename :
5597733
Link To Document :
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