Open Access3D reconstruction of the specular surface using an iterative stereoscopic deflectometry method
Author(s) -
Hao Han,
Shiqian Wu,
Zhan Song,
Feifei Gu,
Juan Zhao
Publication year - 2021
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.421898
Subject(s) - specular reflection , stereoscopy , optics , computer science , robustness (evolution) , specular highlight , surface reconstruction , computer vision , pinhole (optics) , iterative method , artificial intelligence , surface (topology) , algorithm , physics , mathematics , biochemistry , chemistry , geometry , gene
Phase measuring deflectometry (PMD) is an effective technique for three-dimensional measurement of specular surfaces. However, the ambiguity of monoscopic PMD and the time-consuming searching process of stereoscopic PMD are challenges for specular surface reconstruction. To solve it, we propose an iterative reconstruction algorithm for the stereoscopic phase measuring deflectometry system free of the time-consuming searching process for each pixel. An arbitrary seed point on the specular surface is accurately obtained via a coarse-to-fine optimization means without any other expensive and complicate auxiliaries. Then, a plane with the height of seed point is set as the initial surface form for the iteration, in which the pinhole model is used to find the linear relation to update the surface form. The converging height is the output as the final result. Simulations and experiments verify the feasibility and efficiency of our proposed method based on the stereoscopic phase measuring deflectometry system. The accuracy and robustness are comprehensively evaluated as well.