Registration Method of Sparse Representation Classification Method

Jing WANG; Guangda SU

doi:10.1587/transinf.E95.D.1332

Registration Method of Sparse Representation Classification Method

Jing WANG, Guangda SU

Full Text Views

0

Share
Cite this

Summary :

Sparse representation based classification (SRC) has emerged as a new paradigm for solving face recognition problems. Further research found that the main limitation of SRC is the assumption of pixel-accurate alignment between the test image and the training set. A. Wagner used a series of linear programs that iteratively minimize the sparsity of the registration error. In this paper, we propose another face registration method called three-point positioning method. Experiments show that our proposed method achieves better performance.

Publication: IEICE TRANSACTIONS on Information Vol.E95-D No.5 pp.1332-1335

Publication Date: 2012/05/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1587/transinf.E95.D.1332

Type of Manuscript: Special Section LETTER (Special Section on Recent Advances in Multimedia Signal Processing Techniques and Applications)

Category: Image Processing

Cite this

Copy

Jing WANG, Guangda SU, "Registration Method of Sparse Representation Classification Method" in IEICE TRANSACTIONS on Information, vol. E95-D, no. 5, pp. 1332-1335, May 2012, doi: 10.1587/transinf.E95.D.1332.
Abstract: Sparse representation based classification (SRC) has emerged as a new paradigm for solving face recognition problems. Further research found that the main limitation of SRC is the assumption of pixel-accurate alignment between the test image and the training set. A. Wagner used a series of linear programs that iteratively minimize the sparsity of the registration error. In this paper, we propose another face registration method called three-point positioning method. Experiments show that our proposed method achieves better performance.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E95.D.1332/_p

Copy

@ARTICLE{e95-d_5_1332,
author={Jing WANG, Guangda SU, },
journal={IEICE TRANSACTIONS on Information},
title={Registration Method of Sparse Representation Classification Method},
year={2012},
volume={E95-D},
number={5},
pages={1332-1335},
abstract={Sparse representation based classification (SRC) has emerged as a new paradigm for solving face recognition problems. Further research found that the main limitation of SRC is the assumption of pixel-accurate alignment between the test image and the training set. A. Wagner used a series of linear programs that iteratively minimize the sparsity of the registration error. In this paper, we propose another face registration method called three-point positioning method. Experiments show that our proposed method achieves better performance.},
keywords={},
doi={10.1587/transinf.E95.D.1332},
ISSN={1745-1361},
month={May},}

Copy

TY - JOUR
TI - Registration Method of Sparse Representation Classification Method
T2 - IEICE TRANSACTIONS on Information
SP - 1332
EP - 1335
AU - Jing WANG
AU - Guangda SU
PY - 2012
DO - 10.1587/transinf.E95.D.1332
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2012
AB - Sparse representation based classification (SRC) has emerged as a new paradigm for solving face recognition problems. Further research found that the main limitation of SRC is the assumption of pixel-accurate alignment between the test image and the training set. A. Wagner used a series of linear programs that iteratively minimize the sparsity of the registration error. In this paper, we propose another face registration method called three-point positioning method. Experiments show that our proposed method achieves better performance.
ER -