{"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}
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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
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基于特征点检测的目标深度测量
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
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