{"title":"Volume measurement of object using computer vision","authors":"Tushar Jadhav, Santosh M. Kamble","doi":"10.1109/RTEICT.2016.7808143","DOIUrl":null,"url":null,"abstract":"Three Dimensional reconstruction of an object is one of the current research topics. This paper discusses the generation of a model in Three-Dimensional space by taking views of the object from different angles. Image acquisition is done using a single digital camera and turn table. Camera calibration is done using the images of checkerboard pattern. Camera calibration gives the intrinsic and extrinsic parameters of a camera. These camera parameters are used to calculate the camera matrix. Camera matrix gives the relation between image reference frame and world reference frame. Each view captured of the object is segmented. The silhouettes are obtained from the segmented images of object. Visual hull is formed by the silhouettes and camera projection matrix information using space carving algorithm. Finally the 3D volume of the object is constructed.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"14 1","pages":"1792-1795"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTEICT.2016.7808143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Three Dimensional reconstruction of an object is one of the current research topics. This paper discusses the generation of a model in Three-Dimensional space by taking views of the object from different angles. Image acquisition is done using a single digital camera and turn table. Camera calibration is done using the images of checkerboard pattern. Camera calibration gives the intrinsic and extrinsic parameters of a camera. These camera parameters are used to calculate the camera matrix. Camera matrix gives the relation between image reference frame and world reference frame. Each view captured of the object is segmented. The silhouettes are obtained from the segmented images of object. Visual hull is formed by the silhouettes and camera projection matrix information using space carving algorithm. Finally the 3D volume of the object is constructed.