how to handle occlusion for face recognition?

asked 2014-07-29 21:27:25 -0500

tidy gravatar image

If there some occlusion on face (such as sunglasses, mask, scarf), the recognition rate will decrease steeply? How to handle this case?

I have do a survey, the PCA reconstruction method have been mentioned by some literature. I don't know whether or not this method is the state-of-the-art method. Is there other method for address occlusion problem?

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Part based modeling could do the trick OR simply retrain a face model using a dataset that contains these smaller occlusions. Keep in mind that the supplied model has training data where people just look straight into the camera without a single obstruction. You could add however a glasses detector and a scarf detector to increase the chance of a face being there.

StevenPuttemans gravatar imageStevenPuttemans ( 2014-07-30 04:35:43 -0500 )edit