Co-design of an active depth from defocus camera for surface inspection

B. Buat, P. Trouvé-Peloux, F. Champagnat, T. Simon
{"title":"Co-design of an active depth from defocus camera for surface inspection","authors":"B. Buat, P. Trouvé-Peloux, F. Champagnat, T. Simon","doi":"10.1117/12.2692630","DOIUrl":null,"url":null,"abstract":"Structured illumination combined with a monocular 3D camera leveraging on the estimation of the defocus blur has been proposed in the literature for industrial surface inspection. The accuracy of such active depth from defocus (ADFD) system depends on the camera/projector and processing parameters. Here, we propose to optimize the settings of an ADFD system, using a performance model that can predict the theoretical depth estimation accuracy for a given set of optical/projector/processing parameters. The accuracy of the optimized system is then experimentally evaluated. Moreover, we provide experimental results on real objects, including metallic parts, compared to a reference depth map obtained with an active stereoscopic camera.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Quality Control by Artificial Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2692630","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Structured illumination combined with a monocular 3D camera leveraging on the estimation of the defocus blur has been proposed in the literature for industrial surface inspection. The accuracy of such active depth from defocus (ADFD) system depends on the camera/projector and processing parameters. Here, we propose to optimize the settings of an ADFD system, using a performance model that can predict the theoretical depth estimation accuracy for a given set of optical/projector/processing parameters. The accuracy of the optimized system is then experimentally evaluated. Moreover, we provide experimental results on real objects, including metallic parts, compared to a reference depth map obtained with an active stereoscopic camera.
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
参与设计一种用于表面检测的主动离焦深度相机
结构照明结合单目三维相机利用估计离焦模糊已在文献中提出用于工业表面检测。这种主动离焦深度(ADFD)系统的精度取决于相机/投影仪和处理参数。在这里,我们建议使用一个性能模型来优化ADFD系统的设置,该模型可以预测给定一组光学/投影仪/处理参数的理论深度估计精度。通过实验验证了优化后系统的精度。此外,我们提供了真实物体(包括金属部件)的实验结果,与主动立体相机获得的参考深度图进行了比较。
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
Single-camera multi-point vision: on the use of robotics for digital image correlation f-AnoGAN for non-destructive testing in industrial anomaly detection Object detection model-based quality inspection using a deep CNN Reducing the latency and size of a deep CNN model for surface defect detection in manufacturing Deep-learning based industrial quality control on low-cost smart cameras
×
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