Improved two-frequency temporal phase unwrapping method in fringe projection profilometry

轮廓仪 结构光三维扫描仪 相位展开 计算机科学 相(物质) 投影(关系代数) 噪音(视频) 可靠性(半导体) 光学 人工智能 计算机视觉 算法 图像(数学) 干涉测量 物理 材料科学 表面光洁度 功率(物理) 复合材料 扫描仪 量子力学
作者
Jintao Liu,Xiang Peng,SHAN SHUO,Wen Zhang,Ze Li,Jianhua Wang
出处
期刊:Research Square - Research Square
标识
DOI:10.21203/rs.3.rs-3448931/v1
摘要

Abstract In three-dimensional (3D) measurement using fringe projection profilometry (FPP), noise introduced by the camera during fringe capture can cause phase errors in the reconstructed results, affecting the accuracy of the 3D measurements. The two-frequency temporal phase unwrapping method is widely used due to its high efficiency. However, the use of only two fringe patterns in this method leads to reduced noise immunity and an increased phase error. Many researchers have focused on improving the two-frequency method, but little attention has been paid to enhancing its noise immunity. In this article, we propose a novel two-frequency phase unwrapping method. Firstly, we analyze the phase errors of the traditional 4 f h + 4 f l two-frequency method and our proposed method in detail. Then, the feasibility of our proposed method is demonstrated through multiple sets of experimental results. Finally, we provide solutions to the problems encountered in our proposed method. Through experiments, our proposed method reduces the phase error by 75.90% and 91.39% relative to the traditional 4 f h + 4 f l method, in metal object and gypsum board experiments, respectively. The experimental results show that our proposed method significantly improves the reliability of phase unwrapping and reduces phase errors, thus enhancing the accuracy of 3D reconstruction.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
一事无成的研一完成签到,获得积分10
刚刚
子车茗应助机智小兔子采纳,获得10
1秒前
syxz0628完成签到,获得积分10
2秒前
aaaaa发布了新的文献求助20
2秒前
Sherry发布了新的文献求助10
2秒前
杨锐发布了新的文献求助10
2秒前
kai完成签到,获得积分10
2秒前
2秒前
4秒前
Janice227完成签到,获得积分10
4秒前
郭郭要努力ya完成签到 ,获得积分0
4秒前
科研通AI5应助kobe采纳,获得10
5秒前
to高坚果发布了新的文献求助10
6秒前
西门明雪完成签到,获得积分10
6秒前
自由的松发布了新的文献求助10
7秒前
9秒前
9秒前
olia发布了新的文献求助10
9秒前
Candice应助孤独树叶采纳,获得10
10秒前
YUJIALING完成签到 ,获得积分10
10秒前
酷波er应助tdtk采纳,获得10
10秒前
冰冰完成签到 ,获得积分20
11秒前
11秒前
11秒前
胡桃夹子发布了新的文献求助30
11秒前
12秒前
syxz0628发布了新的文献求助10
12秒前
都可以完成签到,获得积分10
12秒前
科研通AI5应助qfchen0716网易采纳,获得10
13秒前
JamesPei应助qfchen0716网易采纳,获得10
13秒前
丘比特应助qfchen0716网易采纳,获得10
13秒前
子川发布了新的文献求助10
13秒前
田様应助qfchen0716网易采纳,获得10
13秒前
科目三应助qfchen0716网易采纳,获得10
14秒前
黄紫红蓝应助qfchen0716网易采纳,获得10
14秒前
rr发布了新的文献求助10
14秒前
科目三应助qfchen0716网易采纳,获得10
14秒前
Orange应助qfchen0716网易采纳,获得10
14秒前
FashionBoy应助qfchen0716网易采纳,获得10
14秒前
今后应助qfchen0716网易采纳,获得10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
Artificial Intelligence driven Materials Design 600
Comparing natural with chemical additive production 500
Machine Learning in Chemistry 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5194361
求助须知:如何正确求助?哪些是违规求助? 4376657
关于积分的说明 13629793
捐赠科研通 4231614
什么是DOI,文献DOI怎么找? 2321134
邀请新用户注册赠送积分活动 1319292
关于科研通互助平台的介绍 1269676