A flexible multi-view calibration and 3D measurement method based on digital fringe projection

校准 投影机 计算机科学 结构光三维扫描仪 计算机视觉 投影(关系代数) 相(物质) 人工智能 转化(遗传学) 领域(数学) 点(几何) 像素 视野 摄像机切除 算法 数学 物理 几何学 纯数学 扫描仪 化学 统计 基因 量子力学 生物化学
作者
Shaoyan Gai,Feipeng Da,Ming Tang
出处
期刊:Measurement Science and Technology [IOP Publishing]
卷期号:30 (2): 025203-025203 被引量:15
标识
DOI:10.1088/1361-6501/aaf5bd
摘要

Multi-view systems are an effective scheme for solving the problem of a small field-of-view and self-occlusion in optical 3D measurements. However, due to the dispersed distribution of views and the lack of a common field-of-view, the problem of global calibration is difficult and essential. A new method is proposed, by which digital fringe projection and a phase map are used to establish global calibration information. Firstly, fringes are projected to the field of the system. By using a phase unwrapping algorithm, an absolute phase map is obtained. The projector is deemed as the reverse of a camera, which can be calibrated in a similar way to that of the camera. Therefore, the parameters of the cameras, projector and the location of each calibration plane are calculated, and the transformation relationship of adjacent cameras is obtained. Secondly, the phase is used in 3D measurement as well as the global registration of views. Sub-pixel point matching and 3D reconstruction is performed according to the phase map. Global system parameters are optimized by minimizing the reconstruction errors, and precise calibration results can be achieved. With this method, a large-sized calibration target and other auxiliary calibration devices are not required. It is reliable and easy to implement multi-view calibration and reconstruction. The calibration model and calculation processing are simple. The experiment is carried out on a multi-view 3D measurement system. It is shown that high precision multi-view calibration and reconstruction results are obtained.
最长约 10秒,即可获得该文献文件

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
刚刚
庸人自扰发布了新的文献求助10
1秒前
dahuang发布了新的文献求助10
1秒前
可可完成签到,获得积分10
1秒前
1秒前
yoloooooo发布了新的文献求助10
2秒前
顾矜应助虚心天思采纳,获得10
2秒前
EdRefrain完成签到,获得积分10
2秒前
xiyuexue完成签到,获得积分10
2秒前
semigreen发布了新的文献求助10
3秒前
天天开心完成签到,获得积分10
3秒前
123发布了新的文献求助10
3秒前
4秒前
4秒前
QUEEN发布了新的文献求助10
4秒前
慕青应助优雅的白山采纳,获得10
4秒前
4秒前
5秒前
坚定小翠完成签到,获得积分10
5秒前
5秒前
快乐水完成签到,获得积分10
6秒前
ry发布了新的文献求助10
6秒前
dududu发布了新的文献求助10
6秒前
Raymond完成签到,获得积分10
7秒前
7秒前
8秒前
搞怪玩家完成签到,获得积分10
9秒前
9秒前
10秒前
xinxing1010发布了新的文献求助10
10秒前
10秒前
兴奋荟发布了新的文献求助10
10秒前
10秒前
丰知然应助11采纳,获得10
10秒前
云离完成签到,获得积分10
10秒前
趙途嘵生发布了新的文献求助10
10秒前
飘逸定帮发布了新的文献求助10
11秒前
赘婿应助annzl采纳,获得10
11秒前
12秒前
12秒前
高分求助中
Worked Bone, Antler, Ivory, and Keratinous Materials 1000
Mass producing individuality 600
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
Single Element Semiconductors: Properties and Devices 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3828574
求助须知:如何正确求助?哪些是违规求助? 3371011
关于积分的说明 10465801
捐赠科研通 3090912
什么是DOI,文献DOI怎么找? 1700600
邀请新用户注册赠送积分活动 817934
科研通“疑难数据库(出版商)”最低求助积分说明 770588