Automatic Interpretation and Coding of Face Images Using Flexible Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
Person identification from heavily occluded face images
Proceedings of the 2004 ACM symposium on Applied computing
Glasses Removal from Facial Image Using Recursive Error Compensation
IEEE Transactions on Pattern Analysis and Machine Intelligence
SEMD based sparse gabor representation for eyeglasses-face recognition
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
An automated methodology for assessing the damage on byzantine icons
EuroMed'12 Proceedings of the 4th international conference on Progress in Cultural Heritage Preservation
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This paper proposes a new method of removing glasses from human frontal face images. We first detect regions occluded by glasses. Then we generate a naturally looking glassless facial image by recursive PCA reconstruction. The resulting image has no trace of glass frame, nor the reflection and shade made by the glasses. The experimental results show that the proposed method is an effective solution to the problem of glass occlusion, and, we believe, it can be applied to enhancing the performance of face recognition systems.