Open AccessGeometric dimension assisted absolute phase recovery in 3D shape measurement with digital fringe projection
Author(s) -
Shenzhen Lv,
Yuyuan Zhang,
Lei Jing,
Jian Wang,
Ying Li,
Quan Sun
Publication year - 2021
Publication title -
measurement science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.48
H-Index - 136
eISSN - 1361-6501
pISSN - 0957-0233
DOI - 10.1088/1361-6501/abd64f
Subject(s) - absolute phase , dimension (graph theory) , phase (matter) , computer science , projection (relational algebra) , mathematics , artificial intelligence , optics , computer vision , algorithm , physics , quantum mechanics , pure mathematics
A novel method of geometric dimension assisted absolute phase recovery in 3D shape measurement is presented. This method mainly includes two steps: (a) using the window Fourier filter-quality guided phase unwrapping algorithm to obtain the relative phase distribution of the tested object; (b) using the geometric dimension of the object as a clue to convert the relative phase distribution to the absolute phase distribution. This method is convenient, and only three fringe image acquisitions are needed to recover the absolute phase. In addition, there is no limit to the depth range of the tested object. The correctness of this method is verified by several experiments.