{"title":"水轮机叶片复杂形状的双目视觉测量方法","authors":"Zhenwei Wang, Fang Fan, Shuangyin Liu","doi":"10.1109/CSMA.2015.76","DOIUrl":null,"url":null,"abstract":"In industrial practices, there are lots of parts or components with complex shape, such as hydraulic blade, propeller, etc. Thus, rapid measurement for those parts or components will affect the production cycle and cost greatly. In this paper, we introduce the binocular vision to measure the hydraulic blade. First, the camera calibration is conducted to calculate intrinsic and external camera parameters, and two images are obtained from different views. Then, the stereo matching is discussed in detail, such as feature extraction, detection, constraints and so on. Thirdly, we reconstruct the geometric model based on above analysis using NURBS. This method is a non-contact method, which can improve the measurement efficiency and enhance measurement flexibility.","PeriodicalId":205396,"journal":{"name":"2015 International Conference on Computer Science and Mechanical Automation (CSMA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Measurement Method for Complex Shape of Hydraulic Turbine Blade Using Binocular Vision\",\"authors\":\"Zhenwei Wang, Fang Fan, Shuangyin Liu\",\"doi\":\"10.1109/CSMA.2015.76\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In industrial practices, there are lots of parts or components with complex shape, such as hydraulic blade, propeller, etc. Thus, rapid measurement for those parts or components will affect the production cycle and cost greatly. In this paper, we introduce the binocular vision to measure the hydraulic blade. First, the camera calibration is conducted to calculate intrinsic and external camera parameters, and two images are obtained from different views. Then, the stereo matching is discussed in detail, such as feature extraction, detection, constraints and so on. Thirdly, we reconstruct the geometric model based on above analysis using NURBS. This method is a non-contact method, which can improve the measurement efficiency and enhance measurement flexibility.\",\"PeriodicalId\":205396,\"journal\":{\"name\":\"2015 International Conference on Computer Science and Mechanical Automation (CSMA)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Computer Science and Mechanical Automation (CSMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSMA.2015.76\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Computer Science and Mechanical Automation (CSMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSMA.2015.76","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measurement Method for Complex Shape of Hydraulic Turbine Blade Using Binocular Vision
In industrial practices, there are lots of parts or components with complex shape, such as hydraulic blade, propeller, etc. Thus, rapid measurement for those parts or components will affect the production cycle and cost greatly. In this paper, we introduce the binocular vision to measure the hydraulic blade. First, the camera calibration is conducted to calculate intrinsic and external camera parameters, and two images are obtained from different views. Then, the stereo matching is discussed in detail, such as feature extraction, detection, constraints and so on. Thirdly, we reconstruct the geometric model based on above analysis using NURBS. This method is a non-contact method, which can improve the measurement efficiency and enhance measurement flexibility.