亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

A quick and low-cost smartphone photogrammetry method for obtaining 3D particle size and shape

摄影测量学 软件 均方误差 过程(计算) 计算机科学 扫描仪 云计算 激光扫描 计算机视觉 人工智能 粒子(生态学) 激光器 光学 数学 地质学 物理 统计 程序设计语言 操作系统 海洋学
作者
Kun Fang,Jiefei Zhang,Huiming Tang,Xiaolong Hu,Hao Yuan,Xiaotao Wang,Pengju An,Bingdong Ding
出处
期刊:Engineering Geology [Elsevier]
卷期号:322: 107170-107170 被引量:13
标识
DOI:10.1016/j.enggeo.2023.107170
摘要

Reliable particle measurements are essential when investigating the size and shape of particles in various fields of study, including engineering geology. Common methods to determine the morphology of particles, such as 3D laser scanners, are typically expensive or require extensive preparation. Therefore, a setup-friendly, low-cost, and accurate approach is required. In this study, a practical Trick-Image-Capturing (TIC) method based on smartphone photogrammetry to obtain size and shape parameters of 3D coarse particles is proposed. The process of image acquisition and particle reconstruction of the TIC method is demonstrated. Then, the performance of the TIC method is comprehensively assessed under various conditions using a 3D laser scanner, including smartphone quality, particle shape, shooting method, and postprocessing software. An optimal setting of the TIC method is selected through the cloud-to-cloud distance. Finally, the size and shape parameters of 32 coarse particles using the TIC method are also evaluated. Results show that the optimum setup of the TIC method is using a smartphone camera with a resolution above 12 MP under the ICS mode with a 30° shooting angle with Metashape postprocessing software. The root mean square error (RMSE) of cloud-to-cloud distances and the average error ratios under the optimum setup are less than 0.075 mm and 3.5%, respectively. Due to its fast image capturing process, easy setup, and low cost, the TIC method is practical and we expect it to become one of popular methods of measuring 3D coarse particles.
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
tzj完成签到,获得积分10
4秒前
9秒前
huihui发布了新的文献求助30
13秒前
24秒前
xuan发布了新的文献求助30
30秒前
34秒前
43秒前
Amadeus发布了新的文献求助10
46秒前
Jiaxing完成签到 ,获得积分10
53秒前
huihui完成签到,获得积分20
55秒前
Demi_Ming完成签到,获得积分10
1分钟前
小蘑菇应助xuan采纳,获得10
1分钟前
1分钟前
xuan完成签到,获得积分20
1分钟前
1分钟前
科研废人发布了新的文献求助10
1分钟前
诚心的信封完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
77发布了新的文献求助10
2分钟前
3分钟前
3分钟前
Babyblue发布了新的文献求助10
3分钟前
Hello应助Babyblue采纳,获得10
3分钟前
3分钟前
3分钟前
sisyphus发布了新的文献求助10
3分钟前
上官若男应助TYmtdjbYDD采纳,获得10
4分钟前
Timo干物类完成签到,获得积分10
4分钟前
pin完成签到 ,获得积分10
4分钟前
李爱国应助wpj采纳,获得10
5分钟前
Akim应助科研通管家采纳,获得10
5分钟前
qrwyqjbsd应助科研通管家采纳,获得10
5分钟前
科研通AI2S应助科研通管家采纳,获得10
5分钟前
5分钟前
5分钟前
茶茶完成签到,获得积分10
5分钟前
6分钟前
6分钟前
AM发布了新的文献求助10
7分钟前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2500
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Agaricales of New Zealand 1: Pluteaceae - Entolomataceae 1040
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Neuromuscular and Electrodiagnostic Medicine Board Review 700
지식생태학: 생태학, 죽은 지식을 깨우다 600
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3466835
求助须知:如何正确求助?哪些是违规求助? 3059635
关于积分的说明 9067253
捐赠科研通 2750111
什么是DOI,文献DOI怎么找? 1509008
科研通“疑难数据库(出版商)”最低求助积分说明 697124
邀请新用户注册赠送积分活动 696896