Improvement of Face Recognition by Eyeglass Removal
Yuan-Kai Wang, Jia-Hau Jang, Luo-Wei Tsai, Kuo‐Chin Fan · 2010
In this paper, we present a method based on Active Appearance Model (AAM) to remove eyeglasses from face images. The occluded regions are first roughly detected by the AAM search. Then, an ellipse model is used to fit the eyes’ position. After eliminating the eye blocks, residual regions are further enhanced and extracted more precisely by the adaptive threshold method. Finally, the synthesized image is generated by iterative error compensation. Experimental results show that the proposed method provides an effective solution to the recognition of faces occluded by thick-rimmed eyeglasses.