{"title":"一种基于立体匹配的三维建筑重建算法","authors":"Yunyun Cao, F. Da, Y. Sui","doi":"10.1109/CCPR.2009.5344118","DOIUrl":null,"url":null,"abstract":"In order to solve the well-known streaking effects of dynamic programming, an improved algorithm based on stereo matching technology is proposed to generate 3D building model. This algorithm obtains the feature points of the building by Harris corner detector and Canny edge detector to segment the scan lines of dynamic programming. Moreover, a linearly interpolated dissimilarity measure is introduced into the cost computation which further improves the matching speed. The experimental results show that the proposed algorithm can produce smooth and dense 3D points cloud model of building.","PeriodicalId":354468,"journal":{"name":"2009 Chinese Conference on Pattern Recognition","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Stereo Matching Based 3D Building Reconstruction Algorithm\",\"authors\":\"Yunyun Cao, F. Da, Y. Sui\",\"doi\":\"10.1109/CCPR.2009.5344118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to solve the well-known streaking effects of dynamic programming, an improved algorithm based on stereo matching technology is proposed to generate 3D building model. This algorithm obtains the feature points of the building by Harris corner detector and Canny edge detector to segment the scan lines of dynamic programming. Moreover, a linearly interpolated dissimilarity measure is introduced into the cost computation which further improves the matching speed. The experimental results show that the proposed algorithm can produce smooth and dense 3D points cloud model of building.\",\"PeriodicalId\":354468,\"journal\":{\"name\":\"2009 Chinese Conference on Pattern Recognition\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Chinese Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCPR.2009.5344118\",\"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 Chinese Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCPR.2009.5344118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Stereo Matching Based 3D Building Reconstruction Algorithm
In order to solve the well-known streaking effects of dynamic programming, an improved algorithm based on stereo matching technology is proposed to generate 3D building model. This algorithm obtains the feature points of the building by Harris corner detector and Canny edge detector to segment the scan lines of dynamic programming. Moreover, a linearly interpolated dissimilarity measure is introduced into the cost computation which further improves the matching speed. The experimental results show that the proposed algorithm can produce smooth and dense 3D points cloud model of building.
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