High-precision real-time 3D shape measurement using a bi-frequency scheme and multi-view system

结构光三维扫描仪 计算机科学 投影(关系代数) 准确度和精密度 相(物质) 光学 帧速率 计量系统 人工智能 帧(网络) 轮廓仪 计算机视觉 算法 物理 电信 表面粗糙度 天文 量子力学 扫描仪
作者
Tianyang Tao,Qian Chen,Shijie Feng,Yan Hu,Jian Da,Chao Zuo
出处
期刊:Applied optics [The Optical Society]
卷期号:56 (13): 3646-3646 被引量:51
标识
DOI:10.1364/ao.56.003646
摘要

High-speed and high-precision 3D shape measurement plays a central role in diverse applications such as automatic online inspection, robotics control, and human-computer interaction. Conventional multi-frame phase-shifting-based fringe projection profilometry techniques face inherent trade-offs between the speed and measurement precision, which are fundamentally limited by the fringe density and extra pattern projections used for de-ambiguity of fringe orders. Increasing the frequency of the projection fringes can obviously improve the measurement precision; however, it creates difficulties in the subsequent phase unwrapping. For this reason, to date, the frequency of the fringes in typical real-time 3D shape measurement techniques is generally less than 30 to guarantee a reasonable reliability of phase unwrapping. To overcome this limitation, a bi-frequency phase-shifting technique based on a multi-view fringe projection system is proposed, which significantly enhances the measurement precision without compromising the measurement speed. Based on the geometric constraints in a multi-view system, the unwrapped phase of the low-frequency (10-period) fringes can be obtained directly, which serves as a reference to unwrap the high-frequency phase map with a total number of periods of up to 160. Besides, the proposed scheme with 10-period and 160-period fringes is suitable for slightly defocusing projection, allowing a higher projection rate and measurement speed. Experiments on both static and dynamic scenes are performed, verifying that our method can achieve high-speed and high-precision 3D measurement at 300 frames per second with a precision of about 50 μm.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
小琳完成签到,获得积分10
刚刚
CipherSage应助大贺呀采纳,获得10
1秒前
kk完成签到,获得积分10
1秒前
Ava应助丹烟采纳,获得10
2秒前
搜集达人应助化学学渣采纳,获得10
2秒前
犹豫的凌波完成签到,获得积分20
2秒前
WangPF完成签到,获得积分10
2秒前
刘明生发布了新的文献求助10
3秒前
summer完成签到,获得积分10
4秒前
小珂小珂完成签到,获得积分10
4秒前
花木兰发布了新的文献求助10
4秒前
充电宝应助橙橙采纳,获得30
5秒前
zzzz发布了新的文献求助10
6秒前
大模型应助dudu不吃榴莲采纳,获得10
6秒前
7秒前
学术孤儿应助Soin采纳,获得10
8秒前
10秒前
kikkikPCY完成签到,获得积分10
11秒前
11秒前
11秒前
88完成签到,获得积分10
11秒前
123完成签到 ,获得积分10
11秒前
12秒前
misaka发布了新的文献求助10
12秒前
小雨发布了新的文献求助30
13秒前
14秒前
zzzz发布了新的文献求助10
14秒前
15秒前
15秒前
summer发布了新的文献求助10
15秒前
15秒前
张l发布了新的文献求助10
16秒前
16秒前
16秒前
程淑弟完成签到,获得积分10
18秒前
18秒前
18秒前
wjl发布了新的文献求助10
18秒前
大贺呀发布了新的文献求助10
18秒前
melfced完成签到,获得积分10
19秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Blackwell's five-minute veterinary consult clinical companion: small animal gastrointestinal diseases 500
Data book on fatigue strength of metallic materials 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7563094
求助须知:如何正确求助?哪些是违规求助? 9143804
关于积分的说明 19550332
捐赠科研通 7150840
什么是DOI,文献DOI怎么找? 3262369
关于科研通互助平台的介绍 2428608
邀请新用户注册赠送积分活动 2251925