Issue No. 05 - May (2005 vol. 27)
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.
Kernel methods, one class SVM, clustering algorithms, EM algorithm, K-Means.
S. C. Ahn, S. Lee, Y. H. Oh and J. Park, "Glasses Removal from Facial Image Using Recursive Error Compensation," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 27, no. , pp. 805-811, 2005.