Automatic Interpretation and Coding of Face Images Using Flexible Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reconstruction of Partially Damaged Face Images Based on a Morphable Face Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards Detection of Glasses in Facial Images
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Glasses removal from facial image using recursive PCA reconstruction
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Synthesis of high-resolution facial image based on top-down learning
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Performance evaluation of face recognition algorithms on Asian face database
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Elastic shape-texture matching for human face recognition
Pattern Recognition
Gappy PCA Classification for Occlusion Tolerant 3D Face Detection
Journal of Mathematical Imaging and Vision
Coupled Metric Learning for Face Recognition with Degraded Images
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
An efficient gait recognition with backpack removal
EURASIP Journal on Advances in Signal Processing
A novel kernel-based framework for facial-image hallucination
Image and Vision Computing
Three-Dimensional Occlusion Detection and Restoration of Partially Occluded Faces
Journal of Mathematical Imaging and Vision
An eigenbackground subtraction method using recursive error compensation
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Reconstruction of occluded facial images using asymmetrical Principal Component Analysis
Integrated Computer-Aided Engineering
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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.