Face Feature Detection Based on Structured Light Projection Three-Dimensional Reconstruction

Parameter	Camera	Digital led projector
Internal parameter matrix	$A_{c} = [\begin{matrix} 2623.60 & 0 & 971.8982 \\ 0 & 2623.601 & 638.4456 \\ 0 & 0 & 1 \end{matrix}]$	$A_{p} = [\begin{matrix} 2471.4216 & 0 & 689.8955 \\ 0 & 2471.4216 & 426.6369 \\ 0 & 0 & 1 \end{matrix}]$
External parameter matrix	$t = {[\begin{matrix} - 197.780296680491 & 8.585429627016296 & - 12.27413703326317 \end{matrix}]}^{T}$
External parameter matrix	$R = (\begin{matrix} 0.09759450564185558 & 0.01035908489808213 & 0.2177703749646759 \\ - 0.0110486049443111 & 0.9999370632056906 & 0.001948834616757238 \\ - 0.2177364810521328 & - 0.004308014351560694 & 0.9759980870019066 \end{matrix})$
Population error /pixel	0.0109481	0.0459967

Table 2. Measurement result of standard ball

View table

Table 2. Measurement result of standard ball

Group	Diameter of ball A /mm	Diameter of ball B /mm	Distance between spherical center /mm	Error of ball A /mm	Error of ball B /mm	Center distance error /mm
1	50.994	50.9626	100.0598	0.1984	0.1662	0.0505423
2	50.962	50.948	100.2328	0.1664	0.1516	0.1224986
3	50.9792	50.9514	100.2104	0.1836	0.155	0.1000537

Table 3. Measurement result of face features
View table
Table 3. Measurement result of face features
Category Distance /mm
Spacing between brows 28.223
Eyebrow tail spacing 123.367
Interorbital spacing 39.910
Extraorbital spacing 91.296
Nostril spacing 28.399
Nasal bridge spacing 44.634
Outer lip spacing 47.382

Tools

Get Citation

Copy Citation Text

Chenxu Xia, Qun Hao, Yiming Zhang, Shaohui Zhang, Fanfei Li, Zhihui Yang, Jiankun Sun. Face Feature Detection Based on Structured Light Projection Three-Dimensional Reconstruction[J]. Laser & Optoelectronics Progress, 2023, 60(22): 2211004

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites