Robust super-resolution for face images via principle component sparse representation and least squares regression.
Tao LuRuimin HuZhen HanJunjun JiangYang XiaPublished in: ISCAS (2013)
Keyphrases
- 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