A method of face recognition based on fuzzy clustering and parallel neural networks
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
Region-based super-resolution for compression
Multidimensional Systems and Signal Processing
Single-frame image super-resolution through contourlet learning
EURASIP Journal on Applied Signal Processing
Face recognition in non-uniform illumination conditions using lighting normalization and SVM
CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
Computer Vision and Image Understanding
Limits of Learning-Based Superresolution Algorithms
International Journal of Computer Vision
Survey and analysis of multimodal sensor planning and integration for wide area surveillance
ACM Computing Surveys (CSUR)
Color face recognition for degraded face images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Coupled Metric Learning for Face Recognition with Degraded Images
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Cooperative face hallucination using multiple references
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Video super-resolution by integrating SAD and NCC matching criterion for multiple moving objects
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
Robust low-resolution face identification and verification using high-resolution features
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
New motion compensation model VIA frequency classification for fast video super-resolution
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Face hallucination with shape parameters projection constraint
Proceedings of the international conference on Multimedia
Face hallucination with pose variation
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Directionally adaptive single frame image super resolution
International Journal of Innovative Computing and Applications
Evaluation of image resolution and super-resolution on face recognition performance
Journal of Visual Communication and Image Representation
Region-based reconstruction for face hallucination
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Interactive super-resolution through neighbor embedding
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Global face super resolution and contour region constraints
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Morphable model space based face super-resolution reconstruction and recognition
Image and Vision Computing
Fast single image super-resolution by self-trained filtering
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Remote identification of faces: Problems, prospects, and progress
Pattern Recognition Letters
Face hallucination based on morphological component analysis
Signal Processing
Super-resolved faces for improved face recognition from surveillance video
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Greedy regression in sparse coding space for single-image super-resolution
Journal of Visual Communication and Image Representation
Boosting with side information
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Feature-domain super-resolution for iris recognition
Computer Vision and Image Understanding
A Comprehensive Survey to Face Hallucination
International Journal of Computer Vision
Low-resolution face recognition: a review
The Visual Computer: International Journal of Computer Graphics
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Face images that are captured by surveillance cameras usually have a very low resolution, which significantly limits the performance of face recognition systems. In the past, super-resolution techniques have been proposed to increase the resolution by combining information from multiple images. These techniques use super-resolution as a preprocessing step to obtain a high-resolution image that is later passed to a face recognition system. Considering that most state-of-the-art face recognition systems use an initial dimensionality reduction method, we propose to transfer the super-resolution reconstruction from pixel domain to a lower dimensional face space. Such an approach has the advantage of a significant decrease in the computational complexity of the super-resolution reconstruction. The reconstruction algorithm no longer tries to obtain a visually improved high-quality image, but instead constructs the information required by the recognition system directly in the low dimensional domain without any unnecessary overhead. In addition, we show that face-space super-resolution is more robust to registration errors and noise than pixel-domain super-resolution because of the addition of model-based constraints.