{"title":"基于ANFIS的图像摄像机位置估计","authors":"K. Hsia, S. Lien, C. C. Wang, J. Su","doi":"10.1109/ICICIC.2009.132","DOIUrl":null,"url":null,"abstract":"For picture taking, 3D scenery is projected to a 2D image through the camera center. Different position of the camera will cause a different image. It is hard to estimate the camera position only from an image. In this paper, a method to estimate the position of the camera by extracting features from a 2D image and using adaptive neuro-fuzzy inference systems (ANFIS) is proposed. From the experimental results, it is evidently that the proposed method can estimate the center of the camera correctly in a short time.","PeriodicalId":240226,"journal":{"name":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Camera Position Estimation from Image by ANFIS\",\"authors\":\"K. Hsia, S. Lien, C. C. Wang, J. Su\",\"doi\":\"10.1109/ICICIC.2009.132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For picture taking, 3D scenery is projected to a 2D image through the camera center. Different position of the camera will cause a different image. It is hard to estimate the camera position only from an image. In this paper, a method to estimate the position of the camera by extracting features from a 2D image and using adaptive neuro-fuzzy inference systems (ANFIS) is proposed. From the experimental results, it is evidently that the proposed method can estimate the center of the camera correctly in a short time.\",\"PeriodicalId\":240226,\"journal\":{\"name\":\"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICIC.2009.132\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIC.2009.132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
For picture taking, 3D scenery is projected to a 2D image through the camera center. Different position of the camera will cause a different image. It is hard to estimate the camera position only from an image. In this paper, a method to estimate the position of the camera by extracting features from a 2D image and using adaptive neuro-fuzzy inference systems (ANFIS) is proposed. From the experimental results, it is evidently that the proposed method can estimate the center of the camera correctly in a short time.