Open AccessReal-time motion-induced-error compensation in 3D surface-shape measurement
Author(s) -
Xinran Liu,
Tianyang Tao,
Yingying Wan,
Jonathan Kofman
Publication year - 2019
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.025265
Subject(s) - structured light 3d scanner , optics , profilometer , phase (matter) , observational error , motion compensation , projection (relational algebra) , motion (physics) , compensation (psychology) , computer vision , motion estimation , computer science , physics , artificial intelligence , mathematics , algorithm , scanner , psychology , statistics , quantum mechanics , surface roughness , psychoanalysis
Object motion can introduce unknown phase shift and thus measurement error in multi-image phase-shifting methods of fringe projection profilometry. This paper presents a new method to estimate the unknown phase shifts and reduce the motion-induced error by using three phase maps computed over a multiple measurement sequence and calculating the difference between phase maps. The pixel-wise estimation of the motion-induced phase shifts permits phase-error compensation for non-homogeneous surface motion. Experiments demonstrated the ability of the method to reduce motion-induced error in real-time, for shape measurement of surfaces with high depth variation, and moving and deforming surfaces.