Sparse representation of face feature recognition based on multiple dictionaries of double-density dual-tree complex wavelet transform
Weihong Li · Journal of Computer Applications · 2011
The difficulty in sparse representation of facial images based on over-complete dictionary is the dictionary generation.This paper first introduced the Double-Density Dual-Tree Complex Wavelet Transform(DD-DT CWT) for filtering the high-frequency sub-bands and the principle of energy distribution for selecting some sub-bands as the feature of a facial image to form multi-scale dictionaries,then viewed the similar feature of a test sample as the linear combination of some atoms in the overcomplete dictionary,finally got the recognition results via ensembling sparse representations on these dictionaries.The experimental results on AR face database demonstrate the efficiency of the proposed algorithm.