title: Glasses removal from facial image using recursive error compensation.
abstract: 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.
authors.affiliation: Department of Computer Science and Engineering, Korea University, Anam-dong, Seongbuk-ku, Seoul 136-701, Korea. jspark@image.korea.ac.kr
authors.forename: Jeong-Seon
authors.initials: JS
authors.lastname: Park
authors.forename: You Hwa
authors.initials: YH
authors.lastname: Oh
authors.forename: Sang Chul
authors.initials: SC
authors.lastname: Ahn
authors.forename: Seong-Whan
authors.initials: SW
authors.lastname: Lee
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D003196:Computer Graphics; D005139:Eyeglasses; D005145:Face / Q000033:anatomy & histology*; D005246:Feedback; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013382:Subtraction Technique; D014584:User-Computer Interface