基于特征点检测的目标深度测量

Lai Yufeng, Wang Zhongsheng
{"title":"基于特征点检测的目标深度测量","authors":"Lai Yufeng, Wang Zhongsheng","doi":"10.2991/pntim-19.2019.66","DOIUrl":null,"url":null,"abstract":"In order to simplify the method of obtaining absolute depth information, this paper proposes a method of automatic measurement of object depth information in images by monocular camera without calibration and adjustment of camera parameters, which is used to realize an automatic depth measurement system. This method uses the feature points on the object image to measure the depth of the object to enhance the robustness of the algorithm against partial occlusion or missing of the measured object in the scene. Experimental results show that the method is effective. Keywords-Component; Feature Points; Absolute Depth; Image Segmentation; the Object Matching","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"2022 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Object Depth Measurement Based on Feature Point Detection\",\"authors\":\"Lai Yufeng, Wang Zhongsheng\",\"doi\":\"10.2991/pntim-19.2019.66\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to simplify the method of obtaining absolute depth information, this paper proposes a method of automatic measurement of object depth information in images by monocular camera without calibration and adjustment of camera parameters, which is used to realize an automatic depth measurement system. This method uses the feature points on the object image to measure the depth of the object to enhance the robustness of the algorithm against partial occlusion or missing of the measured object in the scene. Experimental results show that the method is effective. Keywords-Component; Feature Points; Absolute Depth; Image Segmentation; the Object Matching\",\"PeriodicalId\":344913,\"journal\":{\"name\":\"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)\",\"volume\":\"2022 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/pntim-19.2019.66\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/pntim-19.2019.66","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

为了简化获取绝对深度信息的方法,本文提出了一种无需对相机参数进行标定和调整的单目相机自动测量图像中物体深度信息的方法,并利用该方法实现了一个自动深度测量系统。该方法利用目标图像上的特征点来测量目标的深度,以增强算法对场景中被测量目标的部分遮挡或缺失的鲁棒性。实验结果表明,该方法是有效的。Keywords-Component;特征点;绝对的深度;图像分割;对象匹配
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Object Depth Measurement Based on Feature Point Detection
In order to simplify the method of obtaining absolute depth information, this paper proposes a method of automatic measurement of object depth information in images by monocular camera without calibration and adjustment of camera parameters, which is used to realize an automatic depth measurement system. This method uses the feature points on the object image to measure the depth of the object to enhance the robustness of the algorithm against partial occlusion or missing of the measured object in the scene. Experimental results show that the method is effective. Keywords-Component; Feature Points; Absolute Depth; Image Segmentation; the Object Matching
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信