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Robust super-resolution for face images via principle component sparse representation and least squares regression.
Tao Lu
Ruimin Hu
Zhen Han
Junjun Jiang
Yang Xia
Published in:
ISCAS (2013)
Keyphrases
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sparse representation
face images
super resolution
illumination variations
low resolution
face recognition
high resolution
single image super resolution
image super resolution
image patches
dictionary learning
sparse coding
low resolution face images
low resolution images
face hallucination
image reconstruction
test images
sparse representation based classification
robust face recognition
human faces
principal component analysis
high resolution images
single image
object tracking
facial features
random projections
multi frame
partial occlusion
face detection
signal processing
facial expressions
high dimensional data
motion estimation
training set
high quality
image representation
high resolution face images
compressive sensing
depth map
image classification
feature vectors
feature extraction
illumination conditions
facial images
lighting conditions
data sets
dimensionality reduction
pattern recognition
three dimensional
feature selection
computer vision