1 research outputs found
A Compared Study Between Some Subspace Based Algorithms
The technology of face recognition has made some progress in recent years.
After studying the PCA, 2DPCA, R1-PCA, L1-PCA, KPCA and KECA algorithms, in
this paper ECA (2DECA) is proposed by extracting features in PCA (2DPCA) based
on Renyi entropy contribution. And then we conduct a study on the 2DL1-PCA and
2DR1-PCA algorithms. On the basis of the experiments, this paper compares the
difference of the recognition accuracy and operational efficiency between the
above algorithms.Comment: 13 pages, 5 figure