Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Enhancing reconstruction precision of zonal methods under low sampling density in non-uniform meshes

Not Accessible

Your library or personal account may give you access

Abstract

The fringe reflection method is widely used to determine the three-dimensional shape of mirror objects. The three-dimensional shape is produced by integrating local gradient data. Notably, the loss of middle- or high-frequency information often leads to the appearance of error in surface reconstruction. It is necessary to make full use of gradient data if we want to reconstruct the surface accurately. After reconstruction under low sampling density by existing algorithms, some high-frequency information will inevitably be lost. Considering the unequally spaced or non-uniform sampling, this paper proposes a new algorithm based on zonal methods that are applicable to non-uniform meshes. The key to obtaining improvement in precision is that our algorithm introduces surface compensation. On the basis of simulation results, we conclude that the proposed algorithm has stronger applicability and higher reconstruction precision under low sampling density.

© 2019 Optical Society of America

Full Article  |  PDF Article
More Like This
Improved zonal integration method for high accurate surface reconstruction in quantitative deflectometry

Mengyang Li, Dahai Li, Chengying Jin, Kewei E, Xiaodong Yuan, Zhao Xiong, and Qionghua Wang
Appl. Opt. 56(13) F144-F151 (2017)

Fast and non-iterative zonal estimation for the non-rectangular data in the transparent surface reconstruction from polarization analysis

Zhuang Sun, Yang Qiao, Zhaoguo Jiang, Xiping Xu, Xuanrui Gong, and Jing Zhou
Appl. Opt. 59(6) 1585-1593 (2020)

Shape reconstruction based on zero-curl gradient field estimation in a fringe reflection technique

Xiaoli Jing, Haobo Cheng, Yongfu Wen, Kun Gao, Huaying Wang, and Hao Yang
Appl. Opt. 57(15) 4135-4144 (2018)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (8)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (8)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.