{"title":"利用模型选择标准在三维距离数据中检测圆柱体","authors":"N. Gheissari, A. Bab-Hadiashar","doi":"10.1109/3DIM.2005.30","DOIUrl":null,"url":null,"abstract":"In this paper, we use a model selection criterion to decide whether two cylinders should be merged as a single cylinder or they should be left separated. We compare and evaluate an extensive number of different model selection criteria for this purpose and examine which factors can affect their performance. We conclude that SSC, GIC, MCAIC and CAIC have a better performance (for this particular application) compared to the other criteria.","PeriodicalId":170883,"journal":{"name":"Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Detecting cylinders in 3D range data using model selection criteria\",\"authors\":\"N. Gheissari, A. Bab-Hadiashar\",\"doi\":\"10.1109/3DIM.2005.30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we use a model selection criterion to decide whether two cylinders should be merged as a single cylinder or they should be left separated. We compare and evaluate an extensive number of different model selection criteria for this purpose and examine which factors can affect their performance. We conclude that SSC, GIC, MCAIC and CAIC have a better performance (for this particular application) compared to the other criteria.\",\"PeriodicalId\":170883,\"journal\":{\"name\":\"Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/3DIM.2005.30\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3DIM.2005.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detecting cylinders in 3D range data using model selection criteria
In this paper, we use a model selection criterion to decide whether two cylinders should be merged as a single cylinder or they should be left separated. We compare and evaluate an extensive number of different model selection criteria for this purpose and examine which factors can affect their performance. We conclude that SSC, GIC, MCAIC and CAIC have a better performance (for this particular application) compared to the other criteria.
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