Limits on Super-Resolution and How to Break Them
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
An Improved Two-Step Approach to Hallucinating Faces
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
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
Resolution enhancement of facial image using an error back-projection of example-based learning
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Hallucinating face by eigentransformation
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
IEEE Transactions on Image Processing
Resolution enhancement of monochrome and color video using motion compensation
IEEE Transactions on Image Processing
Eigenface-domain super-resolution for face recognition
IEEE Transactions on Image Processing
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This paper proposes a new method for synthesizing high-resolution faces from single-frame low-resolution facial images, using a region-based reconstruction method of an extended morphable face model. In the method, we suppose that any noble facial image can be reconstructed by a linear combination of prototypes obtained from training facial images. Then, in order to maintain the local characteristics of local facial regions, we apply a region-based reconstruction method. The encouraging results show that the proposed methods can be used to improve the performance of face recognition systems, particularly to enhance the resolution of facial images captured from visual surveillance systems.