Sample-Relaxed Two-Dimensional Color Principal Component Analysis for Face Recognition and Image Reconstruction.
Meixiang ZhaoZhigang JiaDunwei GongPublished in: CoRR (2018)
Keyphrases
- image reconstruction
- principal component analysis
- face recognition
- face images
- reconstructed image
- linear discriminant analysis
- discriminant analysis
- super resolution
- color images
- sampled data
- dimensionality reduction
- spatial resolution
- feature extraction
- compressed sensing
- inverse problems
- artifact free
- computed tomography
- low dimensional
- dimension reduction
- emission computed tomography
- independent component analysis
- radon transform
- color information
- three dimensional
- reconstruction method
- zernike moments
- image reconstruction algorithms
- sample size
- local binary pattern
- sparsely sampled
- emission tomography
- computer vision
- random projections
- kernel pca
- facial expressions
- reconstruction process
- tomographic reconstruction
- feature space
- image sequences
- limited angle
- signal reconstruction
- high quality
- facial images