{"title":"一种高效的视频拼接全景算法","authors":"Xin-bo Zhao, Xiaochun Zou, Zhong Ma, Yan Feng","doi":"10.1109/ICISA.2010.5480527","DOIUrl":null,"url":null,"abstract":"Digital image mosaic is an active area of research. Generally, the significances of this synthetic panorama can be explained as follows: Firstly, increasing the angle of the optics system view. Secondly, the panorama can be used for image examining, editing, analysis and understanding. Thirdly, the virtual reality system can use the panorama to appear the virtual 3-D environment. So the research of such an efficient video mosaic panorama algorithm is necessary and possible. The algorithm employs the feature-based motion estimator to estimate the video motion model parameters. Thus, we can use the result to compose the panorama. After that, for the purpose of removing the foreground objects, we use the panorama estimation process. The test results showed that the proposed algorithm is efficient.","PeriodicalId":313762,"journal":{"name":"2010 International Conference on Information Science and Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Efficient Video Mosaic Panorama Algorithm\",\"authors\":\"Xin-bo Zhao, Xiaochun Zou, Zhong Ma, Yan Feng\",\"doi\":\"10.1109/ICISA.2010.5480527\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital image mosaic is an active area of research. Generally, the significances of this synthetic panorama can be explained as follows: Firstly, increasing the angle of the optics system view. Secondly, the panorama can be used for image examining, editing, analysis and understanding. Thirdly, the virtual reality system can use the panorama to appear the virtual 3-D environment. So the research of such an efficient video mosaic panorama algorithm is necessary and possible. The algorithm employs the feature-based motion estimator to estimate the video motion model parameters. Thus, we can use the result to compose the panorama. After that, for the purpose of removing the foreground objects, we use the panorama estimation process. The test results showed that the proposed algorithm is efficient.\",\"PeriodicalId\":313762,\"journal\":{\"name\":\"2010 International Conference on Information Science and Applications\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Information Science and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISA.2010.5480527\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Information Science and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISA.2010.5480527","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Digital image mosaic is an active area of research. Generally, the significances of this synthetic panorama can be explained as follows: Firstly, increasing the angle of the optics system view. Secondly, the panorama can be used for image examining, editing, analysis and understanding. Thirdly, the virtual reality system can use the panorama to appear the virtual 3-D environment. So the research of such an efficient video mosaic panorama algorithm is necessary and possible. The algorithm employs the feature-based motion estimator to estimate the video motion model parameters. Thus, we can use the result to compose the panorama. After that, for the purpose of removing the foreground objects, we use the panorama estimation process. The test results showed that the proposed algorithm is efficient.