Face Pose Correction With Eyeglasses and Occlusions Removal

This paper presents how to remove unwanted occlusions such as eyeglasses in face images. By choosing training images carefully, we can derive a set of basis vectors that can eliminate this impediment for processing face images. In order to handle different poses, we apply multi-view active appearanc...

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Bibliographic Details
Published in2007 Biometrics Symposium pp. 1 - 6
Main Authors Jingu Heo, Savvides, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2007
Subjects
Active appearance model
Aging
Cameras
Face recognition
Humans
Image converters
Image databases
Image reconstruction
Impedance
Lighting
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Summary:This paper presents how to remove unwanted occlusions such as eyeglasses in face images. By choosing training images carefully, we can derive a set of basis vectors that can eliminate this impediment for processing face images. In order to handle different poses, we apply multi-view active appearance models (MVAAMs) for fitting and then convert non-frontal images into frontal neutral faces. A set of these frontal-neutral faces is chosen for the basis and used for reconstructing other face images with occlusions. In addition, we are able to correct missing features while converting into frontal faces. The corrected faces are used for inputting to a frontal based face recognition system which can handle non-frontal faces efficiently.
ISBN:9781424415489
1424415489
DOI:10.1109/BCC.2007.4430551