基于 DOE 的结构光用于稳健的 3D 重建

Bohuai Su, Feifei Gu, Hubing Du, Zhan Song
{"title":"基于 DOE 的结构光用于稳健的 3D 重建","authors":"Bohuai Su, Feifei Gu, Hubing Du, Zhan Song","doi":"10.1109/ROBIO58561.2023.10354776","DOIUrl":null,"url":null,"abstract":"Spatial structured light (SL) enables three-dimensional measurements in a single shot by projecting patterns with coded information. However, conventional structured light systems typically employ a digital light processing projector (DLP) to project specific light patterns or coded patterns onto the surface of the object under examination. This reliance on projectors limits the miniaturization potential of such structured light systems, thereby hindering their suitability for industrial applications. The main contributions of the work in this paper include: 1) We introduce a novel and practical depth-aware miniature solution for smart terminals that employs a diffractive optical element (DOE) instead of a digital projector to project coded patterns. 2) We propose a one-dimensional SL pattern generation method that is successfully etched onto a DOE. 3) In contrast to traditional image processing techniques, all crucial steps in the pattern decoding process, such as corner detection and block recognition, are executed using deep learning methods, ensuring heightened robustness in real-world applications. The experimental results verify the effectiveness of the proposed method.","PeriodicalId":505134,"journal":{"name":"2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"22 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DOE-based Structured Light For Robust 3D Reconstruction\",\"authors\":\"Bohuai Su, Feifei Gu, Hubing Du, Zhan Song\",\"doi\":\"10.1109/ROBIO58561.2023.10354776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spatial structured light (SL) enables three-dimensional measurements in a single shot by projecting patterns with coded information. However, conventional structured light systems typically employ a digital light processing projector (DLP) to project specific light patterns or coded patterns onto the surface of the object under examination. This reliance on projectors limits the miniaturization potential of such structured light systems, thereby hindering their suitability for industrial applications. The main contributions of the work in this paper include: 1) We introduce a novel and practical depth-aware miniature solution for smart terminals that employs a diffractive optical element (DOE) instead of a digital projector to project coded patterns. 2) We propose a one-dimensional SL pattern generation method that is successfully etched onto a DOE. 3) In contrast to traditional image processing techniques, all crucial steps in the pattern decoding process, such as corner detection and block recognition, are executed using deep learning methods, ensuring heightened robustness in real-world applications. The experimental results verify the effectiveness of the proposed method.\",\"PeriodicalId\":505134,\"journal\":{\"name\":\"2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"volume\":\"22 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIO58561.2023.10354776\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO58561.2023.10354776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

空间结构光(SL)通过投射带有编码信息的图案,可在一次拍摄中实现三维测量。然而,传统的结构光系统通常采用数字光处理投影仪(DLP)将特定的光图案或编码图案投射到被测物体表面。对投影仪的依赖限制了此类结构光系统的微型化潜力,从而阻碍了它们在工业应用中的适用性。本文工作的主要贡献包括1) 我们为智能终端引入了一种新颖实用的深度感知微型解决方案,它采用衍射光学元件(DOE)而不是数字投影仪来投射编码图案。2) 我们提出了一种成功蚀刻到 DOE 上的一维 SL 图案生成方法。3) 与传统的图像处理技术相比,图案解码过程中的所有关键步骤,如角检测和块识别,均采用深度学习方法来执行,从而确保在实际应用中具有更高的鲁棒性。实验结果验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
DOE-based Structured Light For Robust 3D Reconstruction
Spatial structured light (SL) enables three-dimensional measurements in a single shot by projecting patterns with coded information. However, conventional structured light systems typically employ a digital light processing projector (DLP) to project specific light patterns or coded patterns onto the surface of the object under examination. This reliance on projectors limits the miniaturization potential of such structured light systems, thereby hindering their suitability for industrial applications. The main contributions of the work in this paper include: 1) We introduce a novel and practical depth-aware miniature solution for smart terminals that employs a diffractive optical element (DOE) instead of a digital projector to project coded patterns. 2) We propose a one-dimensional SL pattern generation method that is successfully etched onto a DOE. 3) In contrast to traditional image processing techniques, all crucial steps in the pattern decoding process, such as corner detection and block recognition, are executed using deep learning methods, ensuring heightened robustness in real-world applications. The experimental results verify the effectiveness of the proposed method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Barometric Soft Tactile Sensor for Depth Independent Contact Localization Stability Margin Based Gait Design on Slopes for a Novel Reconfigurable Quadruped Robot with a Foldable Trunk Blind Walking Balance Control and Disturbance Rejection of the Bipedal Humanoid Robot Xiao-Man via Reinforcement Learning A Closed-Loop Multi-perspective Visual Servoing Approach with Reinforcement Learning Modeling and Analysis of Pipe External Surface Grinding Force using Cup-shaped Wire Brush
×
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