The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
The CMU Pose, Illumination, and Expression Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Weighted Sub-Gabor for face recognition
Pattern Recognition Letters
Affinity functions in fuzzy connectedness based image segmentation I: Equivalence of affinities
Computer Vision and Image Understanding
Computer Vision and Image Understanding
Steerable pyramid-based face hallucination
Pattern Recognition
Hallucinating face by position-patch
Pattern Recognition
Super-resolution of human face image using canonical correlation analysis
Pattern Recognition
Learning with l1-graph for image analysis
IEEE Transactions on Image Processing
Enhanced local texture feature sets for face recognition under difficult lighting conditions
IEEE Transactions on Image Processing
Image super-resolution via sparse representation
IEEE Transactions on Image Processing
Face hallucination with pose variation
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Statistical Analysis of the LMS Algorithm Applied to Super-Resolution Image Reconstruction
IEEE Transactions on Signal Processing
Super-Resolution of Face Images Using Kernel PCA-Based Prior
IEEE Transactions on Multimedia
Hallucinating face by eigentransformation
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time
IEEE Transactions on Image Processing
Eigenface-domain super-resolution for face recognition
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Generalized Face Super-Resolution
IEEE Transactions on Image Processing
An Example-Based Face Hallucination Method for Single-Frame, Low-Resolution Facial Images
IEEE Transactions on Image Processing
From Local Pixel Structure to Global Image Super-Resolution: A New Face Hallucination Framework
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
FSIM: A Feature Similarity Index for Image Quality Assessment
IEEE Transactions on Image Processing
Hallucinating Face in the DCT Domain
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Very Low Resolution Face Recognition Problem
IEEE Transactions on Image Processing
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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In this paper, a patch-based super-resolution (SR) method is proposed to hallucinate facial images, where the image patches are selected and weighted based on a multilateral affinity function (MAF). Inspired by the property of human faces, we design the MAF by combining four parts, each of which is also an affinity function and inspired from different insights. The first part describes the similarity of two patches by their appearances. The second one takes the probable positions of patches into account. The third part incorporates the global information of faces by Lasso regression. The fourth one includes the information of significant facial components. Through the data consistency constraint, weights of training patches are calculated from MAF. The final SR results are obtained by the stitching of inferred HR patches and a post-processing. The experiments on two public databases demonstrate the superiority of the proposed method over some state-of-the-art methods via various criteria. The feasibility of our method in the real-world scenario is also demonstrated experimentally.