{"title":"线阵CCD相机非匀速底盘图像的几何校正方法","authors":"Y. Cheng, Lingfei Liang, J. Pu","doi":"10.1109/ICAL.2012.6308221","DOIUrl":null,"url":null,"abstract":"This paper proposes a geometric correction method for vehicle chassis images acquired by linear charge coupled device (CCD) camera using speeded up robust features (SURF) and phase-only correlation (POC). We use feature matching based in SURF to estimate an approximate homography between standard images and real-time camera images using a limited number of corresponding points, and dense sub-pixel correspondence search based in POC to adjust precise position of corresponding points. Experimental result shows the geometric correction method using SURF and POC can achieve high-accuracy.","PeriodicalId":373152,"journal":{"name":"2012 IEEE International Conference on Automation and Logistics","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A geometric correction approach for chassis images with non-uniform speed by linear CCD camera\",\"authors\":\"Y. Cheng, Lingfei Liang, J. Pu\",\"doi\":\"10.1109/ICAL.2012.6308221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a geometric correction method for vehicle chassis images acquired by linear charge coupled device (CCD) camera using speeded up robust features (SURF) and phase-only correlation (POC). We use feature matching based in SURF to estimate an approximate homography between standard images and real-time camera images using a limited number of corresponding points, and dense sub-pixel correspondence search based in POC to adjust precise position of corresponding points. Experimental result shows the geometric correction method using SURF and POC can achieve high-accuracy.\",\"PeriodicalId\":373152,\"journal\":{\"name\":\"2012 IEEE International Conference on Automation and Logistics\",\"volume\":\"98 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Automation and Logistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAL.2012.6308221\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Automation and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAL.2012.6308221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A geometric correction approach for chassis images with non-uniform speed by linear CCD camera
This paper proposes a geometric correction method for vehicle chassis images acquired by linear charge coupled device (CCD) camera using speeded up robust features (SURF) and phase-only correlation (POC). We use feature matching based in SURF to estimate an approximate homography between standard images and real-time camera images using a limited number of corresponding points, and dense sub-pixel correspondence search based in POC to adjust precise position of corresponding points. Experimental result shows the geometric correction method using SURF and POC can achieve high-accuracy.