Laser & Optoelectronics Progress, Volume. 56, Issue 2, 023001(2019)
Extraction Algorithm of Face Features Based on Thermal Infrared Spectra
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Fig. 1. Sample images in UCHThermalFace database. (a) Indoor; (b) outdoor; (c) indoor occlusion; (d) outdoor occlusion; (e) outdoor speech
Fig. 4. Extraction process of isothermal features in Gaussian mixture model. (a) Original image; (b) Gaussian mixture image; (c) feature point image; (d) isothermal feature image
Fig. 6. Isothermal feature extraction process for random occlusion samples. (a) Original image; (b) 10% occlusion image; (c) feature point image; (d) isothermal feature image
Fig. 7. Images of random occlusion and eye noise samples. (a) Original image; (b) 10% occlusion image; (c) 2.5% noise; (d) 5% noise; (e) 10% noise
Table 1. Experimental data for different feature numbers of multi-pose samples
View tableTable 1. Experimental data for different feature numbers of multi-pose samples
Number of features η Recognition rates of different subsets /% Average recognition time /ms R 1R 2R 3R 4R 5R 6Average recognition rate /% 20 81.46 92.17 83.01 77.12 84.65 98.75 87.14 18 40 86.75 93.32 89.23 82.16 91.38 99.42 91.10 25 60 89.27 94.71 90.52 83.45 90.56 100.00 91.85 63 80 91.31 95.72 92.86 84.25 91.24 100.00 92.81 71 100 300 500 1000 5000 10000 20000 28125 92.63 94.26 95.21 95.60 95.73 95.88 96.04 96.32 96.01 96.63 97.04 97.52 98.16 98.65 98.87 99.14 93.19 94.38 95.37 95.68 95.81 95.92 96.44 96.65 85.16 86.25 87.22 87.69 88.14 89.41 90.26 91.37 92.97 94.34 95.53 95.72 95.85 95.96 96.53 96.44 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 93.33 94.31 95.06 95.37 95.62 95.97 96.36 96.65 103 176 231 379 635 962 1237 1642
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Kefeng Li, Quanzhen Huang, Jinyan Lu. Extraction Algorithm of Face Features Based on Thermal Infrared Spectra[J]. Laser & Optoelectronics Progress, 2019, 56(2): 023001
Paper Information
Category: Spectroscopy
Received: Jun. 21, 2018
Accepted: Jul. 30, 2018
Published Online: Aug. 1, 2019
The Author Email: Li Kefeng (kefengli922@126.com)
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