Video Processing for Dual Laser 3D Scanner Prototype based on Cloud to Cloud Method

I. Wijayanto, S. Hadiyoso, Teguh Musaharpa Gunawan
{"title":"Video Processing for Dual Laser 3D Scanner Prototype based on Cloud to Cloud Method","authors":"I. Wijayanto, S. Hadiyoso, Teguh Musaharpa Gunawan","doi":"10.1109/ICCEREC.2018.8712107","DOIUrl":null,"url":null,"abstract":"Recently, three dimensional (3D) scanner is a continuous developing scanning technology. There are several approaches used in this technology. The first approach is by using a depth camera and the second approach is by using laser and a standard camera. Previous research had been done to develop a dual laser 3D scanner which able to scan an object with maximum size is 15×15×15 cm. By using cloud to cloud merging method, the result is quite satisfying, and it can scan a physical object and convert it to a 3D digital object with the level of size precision is more than 98%. In this research, we improve the prototype to achieve faster time processing. We change the main scanning method from using image per step into video recording. We make some adjustment to signal processing algorithm, and in result, we achieve better time processing. The time processing is reduced more than 50% of the previous research and the scale precision also getting better.","PeriodicalId":250054,"journal":{"name":"2018 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEREC.2018.8712107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Recently, three dimensional (3D) scanner is a continuous developing scanning technology. There are several approaches used in this technology. The first approach is by using a depth camera and the second approach is by using laser and a standard camera. Previous research had been done to develop a dual laser 3D scanner which able to scan an object with maximum size is 15×15×15 cm. By using cloud to cloud merging method, the result is quite satisfying, and it can scan a physical object and convert it to a 3D digital object with the level of size precision is more than 98%. In this research, we improve the prototype to achieve faster time processing. We change the main scanning method from using image per step into video recording. We make some adjustment to signal processing algorithm, and in result, we achieve better time processing. The time processing is reduced more than 50% of the previous research and the scale precision also getting better.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于云对云方法的双激光三维扫描仪样机视频处理
近年来,三维扫描仪是一项不断发展的扫描技术。在这项技术中使用了几种方法。第一种方法是使用深度相机,第二种方法是使用激光和标准相机。之前的研究已经开发出一种双激光3D扫描仪,能够扫描最大尺寸为15×15×15厘米的物体。采用云到云合并的方法,结果令人满意,可以扫描物理对象并将其转换为三维数字对象,尺寸精度达到98%以上。在本研究中,我们改进了原型,以实现更快的时间处理。我们将主要的扫描方式由逐步成像改为录像。通过对信号处理算法的调整,达到了较好的时间处理效果。处理时间比以往的研究减少了50%以上,尺度精度也有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Compressive Sensing for Image Watermarking Discrete Wavelet Transform and Spread Spectrum Direction of Arrival Estimation in Low SNR Environment using Two Stages Sparse Reconstruction Microstrip Antenna and Tumbling Simulation for CubeSat on Inter-Satellite Link (ISL) System Detection of Pterygium Disease Using Forward Chaining and Viola Jones Algorithm Design of Single Poly Flash Memory Cell with Power Reduction Technique at Program Mode in 65nm CMOS Process
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1