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2007
ACM

Robust Face Matching Under Large Occlusions

9 years 6 months ago
Robust Face Matching Under Large Occlusions
Outliers due to occlusions and contrast and offset signal deviations notably hinder recognition and retrieval of facial images. We propose a new maximum likelihood matching score with “soft masking” of outliers which is robust in these conditions. Differences between two images are modelled by unknown contrast and offset deviations from an unknown template and by independent pixel-wise errors. The error distribution is a mixture of a zero-centred Gaussian noise with an unknown variance and uniformly distributed outliers. The matching score combines the maximum likelihood estimates of model parameters and the soft masks being produced by a simple iterative ExpectationMaximisation algorithm. Experiments with facial images from the MIT Face Database show the robustness of this technique in the presence of large occlusions.
Georgy L. Gimel'farb, Patrice Delmas, John Morris,
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ICIAP
Authors Georgy L. Gimel'farb, Patrice Delmas, John Morris, Al Shorin
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