3D Face Recognition Combining Local Keypoints with Isogeodesic Curves Zhang Hongying

Hongying Zhang; Weimin Yang; Huisan Wang

doi:10.3788/LOP57.221503

Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221503(2020)

3D Face Recognition Combining Local Keypoints with Isogeodesic Curves Zhang Hongying

Hongying Zhang^*, Weimin Yang, and Huisan Wang

Author Affiliations

College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China

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Figures & Tables(12)

Fig. 1. Flow chart of our algorithm

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Fig. 2. Diagram of direction vector decomposition

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Fig. 3. Point extracted in the nose root. (a) Points extracted along the direction vector s_s-o; (b) point searched in the nose

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Fig. 4. Extracted areas of the nose and eyes. (a) Nose area; (b) eyes area; (c) areas combing nose with eyes

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Fig. 5. Definition process of coverage rate. (a) Feature points location; (b) feature points selection; (c) range partition; (d) coverage area

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Fig. 6. Combination areas with different coverage rates. (a) 25% coverage rate; (b) 50% coverage rate; (c) 75% coverage rate; (d) 90% overage rate

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Fig. 7. Combination area under different coverage rates after keypoints filtering. (a) 25% coverage rate; (b) 50% coverage rate; (c)75% coverage rate; (d) 90% coverage rate

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Fig. 8. Four isogeodesic curves extracted in this paper

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Table 1. Face recognition rates in terms of different coverage rates unit: %
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Table 1. Face recognition rates in terms of different coverage rates unit: %
Coverage rate Accuracy
Bosphorus FRGCv2.0
25 92.98 92.66
50 93.62 94.87
75 95.54 97.16
90 94.12 96.59

Table 2. Face recognition rates in terms of different fusion coefficients unit:%
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Table 2. Face recognition rates in terms of different fusion coefficients unit:%
Fusion coefficient μ Accuracy
Bosphorus FRGCv2.0
0.1 89.12 89.63
0.2 90.56 91.96
0.3 92.66 93.23
0.4 93.98 95.66
0.5 95.93 97.98
0.6 97.01 98.63
0.7 96.43 98.23
0.8 96.03 97.98
0.9 95.95 97.25

Table 3. Comparison of different algorithms on the Bosphorus database unit:%

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Table 3. Comparison of different algorithms on the Bosphorus database unit:%

Algorithm	Neutral	Anger	Disgust	Fear	Happy	Sadness	Surprise	All
In Ref. [19]	100.00	95.80	91.30	95.70	96.20	97.00	95.80	96.80
In Ref. [20]	100.00	95.80	88.40	81.40	88.70	97.00	93.00	93.40
In Ref. [7]	98.96	94.12	88.24	98.55	98.08	96.92	100.00	97.41
Ours	100.00	95.71	92.11	96.82	97.54	97.66	97.13	97.01

Table 4. Comparison of different algorithms on the FRGCv2.0 database unit:%
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Table 4. Comparison of different algorithms on the FRGCv2.0 database unit:%
Algorithm Neutral Non-neutral
DA-NICP 100.00 97.00
In Ref. [6] 100.00 98.52
In Ref. [7] 98.45 97.50
In Ref. [19] 100.00 96.30
CPD 100.00 97.91
In Ref. [9] 98.88 98.85
In Ref. [10] 98.70 98.70
Ours 100.00 98.63

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Hongying Zhang, Weimin Yang, Huisan Wang. 3D Face Recognition Combining Local Keypoints with Isogeodesic Curves Zhang Hongying[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221503

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