22 September 2022 Three-dimensional face measurement based on stripe edge detection using infrared light
Rui Feng, Shaoyan Gai, Feipeng Da
Author Affiliations +
Abstract

Subject to the poor imaging quality of the infrared camera, the projector defocusing, and the subsurface scattering, the classical phase-shifting method is constrained for reconstructing three-dimensional (3D) face geometry. To address this issue, a face measurement method based on stripe edge detection using infrared light is proposed by designing the global codeword correction. Binary fringe instead of sinusoidal fringe is employed to resist the above disturbance. Significantly, an assistant fringe is developed according to the parity of the gray order, which then is utilized to generate the correction orders. Subsequently, the correction orders are employed to guide the decoding by the discriminator of the rising and falling edges in binary patterns. In this way, the 3D face without jump errors can be reconstructed using an infrared structured light system. Experiments verify the effectiveness of our method not only on the human face but also on the standard sphere and models.

© 2022 Society of Photo-Optical Instrumentation Engineers (SPIE)
Rui Feng, Shaoyan Gai, and Feipeng Da "Three-dimensional face measurement based on stripe edge detection using infrared light," Optical Engineering 61(9), 094103 (22 September 2022). https://doi.org/10.1117/1.OE.61.9.094103
Received: 3 June 2022; Accepted: 7 September 2022; Published: 22 September 2022
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Binary data

Edge detection

Infrared radiation

3D metrology

Phase shifts

Infrared detectors

Infrared cameras

Back to Top