{"title":"利用立体摄像机对室内物体进行三维重建与测量","authors":"Wei Ma, M. Le, K. Jo","doi":"10.1109/IFOST.2011.6021128","DOIUrl":null,"url":null,"abstract":"This paper implements a study of 3D reconstruction and measurement of indoor objects using binocular stereo camera. First, SIFT feature are extracted from both images and the matching points are found. RANSAC method is applied to eliminate wrong matching points. Second, two stereo images are rectified and generated disparity mapping. Finally, the depth mapping and 3D information of each pixel are derived. This method is applied to reconstruct and measure the true object in indoor environment.","PeriodicalId":20466,"journal":{"name":"Proceedings of 2011 6th International Forum on Strategic Technology","volume":"1 1","pages":"738-742"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"3D reconstruction and measurement of indoor object using stereo camera\",\"authors\":\"Wei Ma, M. Le, K. Jo\",\"doi\":\"10.1109/IFOST.2011.6021128\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper implements a study of 3D reconstruction and measurement of indoor objects using binocular stereo camera. First, SIFT feature are extracted from both images and the matching points are found. RANSAC method is applied to eliminate wrong matching points. Second, two stereo images are rectified and generated disparity mapping. Finally, the depth mapping and 3D information of each pixel are derived. This method is applied to reconstruct and measure the true object in indoor environment.\",\"PeriodicalId\":20466,\"journal\":{\"name\":\"Proceedings of 2011 6th International Forum on Strategic Technology\",\"volume\":\"1 1\",\"pages\":\"738-742\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2011 6th International Forum on Strategic Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IFOST.2011.6021128\",\"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 2011 6th International Forum on Strategic Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IFOST.2011.6021128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D reconstruction and measurement of indoor object using stereo camera
This paper implements a study of 3D reconstruction and measurement of indoor objects using binocular stereo camera. First, SIFT feature are extracted from both images and the matching points are found. RANSAC method is applied to eliminate wrong matching points. Second, two stereo images are rectified and generated disparity mapping. Finally, the depth mapping and 3D information of each pixel are derived. This method is applied to reconstruct and measure the true object in indoor environment.
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