Image Recognition Using Joint Projection Learning Algorithm Based on Latent Low-Rank Representation

Qiang Niu; Xiuhong Chen

doi:10.3788/LOP56.141006

Laser & Optoelectronics Progress, Volume. 56, Issue 14, 141006(2019)

Image Recognition Using Joint Projection Learning Algorithm Based on Latent Low-Rank Representation

Qiang Niu^* and Xiuhong Chen

Author Affiliations

School of Digital Media, Jiangnan University, Wuxi, Jiangsu 214122, China

show less

Abstract Get PDF(in Chinese)

Figures & Tables(11)

Fig. 1. Flow chart of algorithm

Download full size

Fig. 2. Sample images of datasets. (a) BioID face database; (b) COIL20 dataset; (c) AR face database

Download full size

Fig. 3. Iteration number versus value of objective function. (a) BioID face database; (b) COIL20 dataset; (c) AR face database

Download full size

Fig. 4. Average recognition rate as a function of regularization parameters. (a) BioID face database; (b) AR face database

Download full size

Fig. 5. Comparison of reconstructed images based on the BioID face database. (a) Images from BioID face database; (b) reconstructed images by LatLRR-JPL algorithm

Download full size

Fig. 6. Comparison of reconstructed images based on the AR face database. (a) Images from AR face database; (b) reconstructed images by LatLRR-JPL algorithm

Download full size

Fig. 7. Average recognition rate as a function of the number of feature dimensions. (a) BioID face database; (b) COIL20 dataset; (c) AR face database

Download full size

Table 1. Average recognition rates and standard deviations of different algorithms on BioID face database%

View table

Table 1. Average recognition rates and standard deviations of different algorithms on BioID face database%

Number of samples	LatLRR-JPL	LatLRR-PL	EALPL	LRLE	LatLRR	LPP
10	85.21±1.8	83.65±1.4	80.16±1.9	83.03±2.1	78.09±1.5	73.50±2.5
13	90.65±1.6	88.54±1.7	84.43±2.2	86.80±2.0	82.80±2.0	80.68±1.9
17	92.50±1.8	91.61±1.4	88.66±1.7	90.56±1.8	86.22±2.0	86.22±2.3
21	93.29±3.3	92.40±3.9	89.31±3.2	90.75±3.1	87.61±3.4	89.77±4.2
23	95.53±2.8	94.38±3.2	91.25±3.4	94.77±3.0	89.43±4.6	92.50±3.3

Table 2. Average recognition rates and standard deviations of different algorithms on COIL20 dataset%

View table

Table 2. Average recognition rates and standard deviations of different algorithms on COIL20 dataset%

Number of samples	LatLRR-JPL	LatLRR-PL	EALPL	LRLE	LatLRR	LPP
10	89.37±1.6	87.73±1.5	85.34±1.6	86.09±1.5	82.20±1.4	83.86±1.8
15	93.25±1.0	91.67±1.1	89.99±1.1	89.89±1.0	86.69±1.2	89.13±0.6
20	95.27±0.7	94.10±0.5	92.37±0.9	92.01±0.6	88.81±0.9	91.68±0.2
25	96.36±1.0	96.87±0.9	94.14±1.2	93.55±0.9	90.05±1.2	92.03±0.7
30	97.65±0.7	97.98±0.6	95.49±0.9	95.02±0.7	91.33±0.9	93.12±0.8

Table 3. Average recognition rates and standard deviations of different algorithms on AR face database%

View table

Table 3. Average recognition rates and standard deviations of different algorithms on AR face database%

Number of samples	LatLRR-JPL	LatLRR-PL	EALPL	LRLE	LatLRR	LPP
5	78.16±1.6	63.12±2.3	65.48±1.3	64.16±1.3	46.66±1.1	64.75±0.7
8	80.39±1.6	66.65±0.9	76.09±0.8	75.37±0.8	56.06±0.8	76.89±1.0
11	86.65±1.6	82.51±1.4	82.74±1.1	83.53±1.1	62.69±0.8	80.07±1.5
14	90.11±1.5	87.91±1.9	87.44±0.6	88.94±0.7	67.95±1.2	86.76±1.1
17	96.51±0.5	90.48±1.7	93.28±1.4	92.53±0.8	71.77±1.4	91.83±1.5

Table 4. Running time of different algorithms on BioID face database and COIL20 datasets
View table
Table 4. Running time of different algorithms on BioID face database and COIL20 datasets
Dataset Number of samples LatLRR-JPL LatLRR-PL EALPL LRLE LatLRR LPP
BioID 13 5.62 5.76 4.64 36.47 17.61 0.03
17 6.54 7.03 5.29 41.33 18.29 0.04
COIL20 10 3.66 4.51 3.15 30.92 15.02 0.02
15 5.03 6.14 4.17 36.01 16.30 0.04

Tools

Get Citation

Copy Citation Text

Qiang Niu, Xiuhong Chen. Image Recognition Using Joint Projection Learning Algorithm Based on Latent Low-Rank Representation[J]. Laser & Optoelectronics Progress, 2019, 56(14): 141006

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Image Processing

Received: Dec. 7, 2018

Accepted: Feb. 19, 2019

Published Online: Jul. 12, 2019

The Author Email: Niu Qiang (6161611014@vip.jiangnan.edu.cn)

DOI:10.3788/LOP56.141006

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Average recognition rates and standard deviations of different algorithms on BioID face database%

Table 1. Average recognition rates and standard deviations of different algorithms on BioID face database%

Table 2. Average recognition rates and standard deviations of different algorithms on COIL20 dataset%

Table 2. Average recognition rates and standard deviations of different algorithms on COIL20 dataset%

Table 3. Average recognition rates and standard deviations of different algorithms on AR face database%

Table 3. Average recognition rates and standard deviations of different algorithms on AR face database%

Table 4. Running time of different algorithms on BioID face database and COIL20 datasets

Table 4. Running time of different algorithms on BioID face database and COIL20 datasets