Face Hallucination: Theory and Practice
International Journal of Computer Vision
The lateral restraint network model on the processing of image
MUSP'07 Proceedings of the 7th WSEAS International Conference on Multimedia Systems & Signal Processing
ICA Based Super-Resolution Face Hallucination and Recognition
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Face Hallucination Based on CSGT and PCA
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
An Example-Based Two-Step Face Hallucination Method through Coefficient Learning
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Face Image Enhancement via Principal Component Analysis
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
A Stochastic Method for Face Image Super-Resolution
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Position-based face hallucination method
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
A 3-D assisted generative model for facial texture super- resolution
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Hallucinating face by position-patch
Pattern Recognition
Super-resolution of human face image using canonical correlation analysis
Pattern Recognition
Robust low-resolution face identification and verification using high-resolution features
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
Facial parts-based face hallucination method
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Wavelet-based eigentransformation for face super-resolution
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
A novel kernel-based framework for facial-image hallucination
Image and Vision Computing
Learning-based super resolution using kernel partial least squares
Image and Vision Computing
Directionally adaptive single frame image super resolution
International Journal of Innovative Computing and Applications
Edge-preserving single image super-resolution
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Large scale identity deduplication using face recognition based on facial feature points
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Region-based reconstruction for face hallucination
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Video-based facial expression hallucination: a two- level hierarchical fusion approach
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Mammogram compression using super-resolution
IWDM'10 Proceedings of the 10th international conference on Digital Mammography
Global face super resolution and contour region constraints
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Eigentransformation-based face super-resolution in the wavelet domain
Pattern Recognition Letters
A bayesian estimation approach to super-resolution reconstruction for face images
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Sparse representation based face image super-resolution
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Face hallucination based on morphological component analysis
Signal Processing
Face image super-resolution via nearest feature line
Proceedings of the 20th ACM international conference on Multimedia
A survey of face hallucination
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Human face super-resolution based on NSCT
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
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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In video surveillance, the faces of interest are often of small size. Image resolution is an important factor affecting face recognition by human and computer. In this paper, we propose a new face hallucination method using eigentransformation. Different from most of the proposed methods based on probabilistic models, this method views hallucination as a transformation between different image styles. We use Principal Component Analysis (PCA) to fit the input face image as a linear combination of the low-resolution face images in the training set. The high-resolution image is rendered by replacing the low-resolution training images with high-resolution ones, while retaining the same combination coefficients. Experiments show that the hallucinated face images are not only very helpful for recognition by humans, but also make the automatic recognition procedure easier, since they emphasize the face difference by adding more high-frequency details.