Compact and fast depth sensor based on a liquid lens using chromatic aberration to improve accuracy

色差 光学 景深 镜头(地质) 光学设计 焦点深度(构造) 光学(聚焦) 焦距 实测深度 消色差透镜 计算机科学 色阶 软件 物理 古生物学 俯冲 地球物理学 生物 构造学 程序设计语言
作者
Gyu Suk Jung,Yong Hyub Won
出处
期刊:Optics Express [Optica Publishing Group]
卷期号:29 (10): 15786-15786 被引量:6
标识
DOI:10.1364/oe.425191
摘要

Depth from defocus (DFD) obtains depth information using two defocused images, making it possible to obtain a depth map with high resolution equal to that of the RGB image. However, it is difficult to change the focus mechanically in real-time applications, and the depth range is narrow because it is inversely proportional to the depth accuracy. This paper presents a compact DFD system based on a liquid lens that uses chromatic aberration for real-time application and depth accuracy improvement. The electrical focus changing of a liquid lens greatly shortens the image-capturing time, making it suitable for real-time applications as well as helping with compact lens design. Depth accuracy can be improved by dividing the depth range into three channels using chromatic aberration. This work demonstrated the improvement of depth accuracy through theory and simulation and verified it through DFD system design and depth measurement experiments of real 3D objects. Our depth measurement system showed a root mean square error (RMSE) of 0.7 mm to 4.98 mm compared to 2.275 mm to 12.3 mm in the conventional method, for the depth measurement range of 30 cm to 70 cm. Only three lenses are required in the total optical system. The response time of changing focus by the liquid lens is 10 ms, so two defocused images for DFD can be acquired within a single frame period of real-time operations. Lens design and image processing were conducted using Zemax and MATLAB, respectively.

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
2233发布了新的文献求助10
1秒前
huanglanlan发布了新的文献求助30
1秒前
鸢雨情笺完成签到,获得积分10
2秒前
2秒前
2秒前
科研通AI6.4应助迷龙采纳,获得10
3秒前
我是老大应助GGGrigor采纳,获得10
3秒前
4秒前
4秒前
4秒前
赛博电子薯条关注了科研通微信公众号
4秒前
星芒发布了新的文献求助10
5秒前
科研通AI6.3应助月yue采纳,获得10
7秒前
满眼星陈完成签到,获得积分10
7秒前
华仔应助wuqs采纳,获得10
9秒前
11秒前
12秒前
情怀应助科研通管家采纳,获得30
12秒前
12秒前
小新应助科研通管家采纳,获得10
12秒前
丘比特应助kyrie采纳,获得10
12秒前
molihuakai应助科研通管家采纳,获得10
12秒前
vc应助科研通管家采纳,获得10
12秒前
桐桐应助科研通管家采纳,获得10
12秒前
13秒前
13秒前
彭dada完成签到,获得积分10
13秒前
13秒前
13秒前
13秒前
Ava应助雪ノ下詩乃采纳,获得10
13秒前
15秒前
爆米花应助奶味蓝采纳,获得10
15秒前
思源应助Jm采纳,获得10
15秒前
17秒前
海饼干30完成签到,获得积分10
18秒前
香蕉觅云应助minghanl采纳,获得10
18秒前
19秒前
赵世初发布了新的文献求助10
20秒前
zll完成签到 ,获得积分10
20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
晶种分解过程与铝酸钠溶液混合强度关系的探讨 8888
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
Signals, Systems, and Signal Processing 610
The Sage Handbook of Digital Labour 600
The formation of Australian attitudes towards China, 1918-1941 600
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6416856
求助须知:如何正确求助?哪些是违规求助? 8236000
关于积分的说明 17494098
捐赠科研通 5469701
什么是DOI,文献DOI怎么找? 2889645
邀请新用户注册赠送积分活动 1866601
关于科研通互助平台的介绍 1703754