Open AccessHigh-frequency color-encoded fringe-projection profilometry based on geometry constraint for large depth range
Author(s) -
Yingying Wan,
Yiping Cao,
Xinran Liu,
Tianyang Tao,
Jonathan Kofman
Publication year - 2020
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.388579
Subject(s) - optics , color space , structured light 3d scanner , hue , artificial intelligence , computer science , profilometer , gray code , projection (relational algebra) , computer vision , algorithm , physics , scanner , quantum mechanics , surface roughness , image (mathematics)
In multi-view fringe projection profilometry (FPP), a limitation of geometry-constraint based approaches is the reduced measurement depth range often used to reduce the number of candidate points and increase the corresponding point selection reliability, when high-frequency fringe patterns are used. To extend the depth range, a new method of high-frequency fringe projection profilometry was developed by color encoding the projected fringe patterns to allow reliable candidate point selection even when six candidate points are in the measurement volume. The wrapped phase is directly retrieved using the intensity component of the hue-saturation-intensity (HSI) color space and complementary-hue is introduced to identify color codes for correct corresponding point selection. Mathematical analyses of the effect of color crosstalk on phase calculation and color code identification show that the phase calculation is independent of color crosstalk and that color crosstalk has little effect on color code identification. Experiments demonstrated that the new method can achieve high accuracy in 3D measurement over a large depth range and for isolated objects, using only two high-frequency color-encoded fringe patterns.