Glasses removal from facial image using recursive error compensation

In this paper, we propose a new method of removing glasses from a human frontal facial image. We first detect the regions occluded by the glasses and generate a natural looking facial image without glasses by recursive error compensation using PCA reconstruction. The resulting image has no trace of...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 27(2005), 5 vom: 15. Mai, Seite 805-11
1. Verfasser: Park, Jeong-Seon (VerfasserIn)
Weitere Verfasser: Oh, You Hwa, Ahn, Sang Chul, Lee, Seong-Whan
Format: Aufsatz
Sprache:English
Veröffentlicht: 2005
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Evaluation Study Journal Article Research Support, Non-U.S. Gov't Validation Study
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245 1 0 |a Glasses removal from facial image using recursive error compensation 
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520 |a In this paper, we propose a new method of removing glasses from a human frontal facial image. We first detect the regions occluded by the glasses and generate a natural looking facial image without glasses by recursive error compensation using PCA reconstruction. The resulting image has no trace of the glasses frame or of the reflection and shade caused by the glasses. The experimental results show that the proposed method provides an effective solution to the problem of glasses occlusion and we believe that this method can also be used to enhance the performance of face recognition systems 
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650 4 |a Research Support, Non-U.S. Gov't 
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700 1 |a Ahn, Sang Chul  |e verfasserin  |4 aut 
700 1 |a Lee, Seong-Whan  |e verfasserin  |4 aut 
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