Face Recognition and Age Estimation Based on Varying Illumination

Huijuan Tian; Mingtian Qiao; Minpeng Cai

doi:10.3788/LOP202259.0210019

Laser & Optoelectronics Progress, Volume. 59, Issue 2, 0210019(2022)

Face Recognition and Age Estimation Based on Varying Illumination

Huijuan Tian^1,2、*, Mingtian Qiao^2,3, and Minpeng Cai^2,3、*

¹Tianjin Key Laboratory of Optoelectronic Detection and System, School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China

²Engineering Research Center of Ministry of Education on High Power Solid Lighting Application System, Tianjin 300387, China

³School of Control Science and Engineering Engineering, Tiangong University, Tianjin 300387, China

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Figures & Tables(9)

Fig. 1. Basic framework of algorithm

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Fig. 2. Flow chart of face recognition and age estimation system

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Fig. 3. Diagrams of experimental scenes. (a) Diagram of real experimental scene; (b) schematic diagram of experimental scene

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Fig. 4. Face detection rate in varying illumination environment

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Fig. 5. Face images with different dimming levels at distances of 1, 2 and 3 m, dimming interval is 10%. (a) Face images collected at 1 m, dimming level is 20%-100% from left to right; (b) face images collected at 2 m, dimming level is 30% ~100% from left to right; (c) face images collected at 3 m, dimming level is 40%-100% from left to right

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Fig. 6. MAE of age estimation for different models at distances of 1, 2 and 3 m. (a) 1 m; (b) 2 m; (c) 3 m

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Fig. 7. Face recognition rate before and after adding image enhancement algorithm in varying illumination environment

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Fig. 8. MAE of human face age before and after adding image enhancement algorithm in varying illumination environment

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Table 1. Comparison results of gray mean value, recognition rate and MAE before and after adding image enhancement algorithm at distances of 1, 2 and 3 m

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Table 1. Comparison results of gray mean value, recognition rate and MAE before and after adding image enhancement algorithm at distances of 1, 2 and 3 m

Distance /m	Image	Indicator	Dimming level of 20%	Dimming level of 30%	Dimming level of 40%	Dimming level of 50%	Dimming level of 60%	Dimming level of 70%	Dimming level of 80%	Dimming level of 90%	Dimming level of 100%
1	Image before adding algorithm	Gray mean value	8.80	11.11	15.62	27.93	36.87	51.15	67.64	80.36	89.39
		Recognition rate /%	60	85	95	97	97	98	98	100	100
		MAE	7.50	7.37	6.20	2.70	1.41	0.78	0.61	0.55	0.38
	Image after adding algorithm	Gray mean value	24.99	30.07	37.41	56.61	68.77	84.97	103.28	115.09	123.38
		Recognition rate /%	86	95	98	98	98	98	100	100	100
		MAE	5.56	5.29	5.00	0.94	0.74	0.74	0.59	0.53	0.38
2	Image before adding algorithm	Gray mean value		10.77	18.47	25.88	35.69	44.76	54.50	66.05	75.38
		Recognition rate /%		28	79	87	98	98	99	100	100
		MAE		7.91	7.19	2.27	1.97	1.94	1.65	1.47	1.36
	Image after adding algorithm	Gray mean value		29.94	43.17	53.77	67.37	78.65	89.97	101.84	110.70
		Recognition rate /%		75	98	98	98	99	99	100	100
		MAE		6.35	4.20	1.67	1.37	1.08	0.85	0.81	0.81
3	Image before adding algorithm	Gray mean value			11.53	17.23	25.32	34.29	43.32	50.18	59.95
		Recognition rate /%			24	63	84	84	97	100	100
		MAE			7.45	7.02	3.89	2.46	2.29	2.23	2.07
	Image after adding algorithm	Image gray mean			32.04	42.03	55.06	67.18	78.25	85.90	96.98
		Recognition rate /%			49	85	95	97	98	100	100
		MAE			5.45	4.86	2.09	1.35	1.33	0.99	0.76

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Huijuan Tian, Mingtian Qiao, Minpeng Cai. Face Recognition and Age Estimation Based on Varying Illumination[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0210019

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Paper Information

Category: Image Processing

Received: Feb. 23, 2021

Accepted: Mar. 16, 2021

Published Online: Dec. 23, 2021

The Author Email: Tian Huijuan (tianhjgx@126.com), Cai Minpeng (tianhjgx@126.com)

DOI:10.3788/LOP202259.0210019

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology