Multiresolution sampling procedure for analysis and synthesis of texture images
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
SIAM Journal on Scientific Computing
An Improved Two-Step Approach to Hallucinating Faces
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Manifold based analysis of facial expression
Image and Vision Computing
Steerable pyramid-based face hallucination
Pattern Recognition
Probabilistic expression analysis on manifolds
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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
Appearance manifold of facial expression
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
Hallucinating face by eigentransformation
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
High-quality image resizing using oblique projection operators
IEEE Transactions on Image Processing
Demosaicing: image reconstruction from color CCD samples
IEEE Transactions on Image Processing
New edge-directed interpolation
IEEE Transactions on Image Processing
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
Position-based face hallucination method
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Hallucinating face by position-patch
Pattern Recognition
Super-resolution of human face image using canonical correlation analysis
Pattern Recognition
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
Locally affine patch mapping and global refinement for image super-resolution
Pattern Recognition
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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A two-phase face hallucination approach is proposed in this paper to infer high-resolution face image from the low-resolution observation based on a set of training image pairs. The proposed locality preserving hallucination (LPH) algorithm combines locality preserving projection (LPP) and radial basis function (RBF) regression together to hallucinate the global high-resolution face. Furthermore, in order to compensate the inferred global face with detailed inartificial facial features, the neighbor reconstruction based face residue hallucination is used. Compared with existing approaches, the proposed LPH algorithm can generate global face more similar to the ground truth face efficiently, moreover, the patch structure and search strategy carefully designed for the neighbor reconstruction algorithm greatly reduce the computational complexity without diminishing the quality of high-resolution face detail. The details of synthetic high-resolution face are further improved by a global linear smoother. Experiments indicate that our approach can synthesize distinct high-resolution faces with various facial appearances such as facial expressions, eyeglasses efficiently.