{"title":"基于相似性的陶器重建方法","authors":"M. Kanoh, Shogo Yasuhara, H. Itoh, Shohei Kato","doi":"10.1109/ICIAP.2001.957055","DOIUrl":null,"url":null,"abstract":"This paper proposes an earthenware reconstruction system, which can automatically reconstruct some earthenware from numerous given potsherds in two-dimensional grayscale images. The system supposes that given potsherds are thin and moderately flat and small. Some earthenware having three-dimensional shape, such as crocks, can be reconstructed by the system within the supposition. The system performs earthenware reconstruction through two phases. At the first phase, potsherds are joined automatically in two dimensions. An efficient joint detection algorithm using surface pattern and shape similarity is proposed at this phase. At the second phase, three-dimensional shape is recovered by an adequate three-dimensional transformation. Some experimental results of reconstruction from numerous potsherds are also reported.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Similarity-based approach to earthenware reconstruction\",\"authors\":\"M. Kanoh, Shogo Yasuhara, H. Itoh, Shohei Kato\",\"doi\":\"10.1109/ICIAP.2001.957055\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an earthenware reconstruction system, which can automatically reconstruct some earthenware from numerous given potsherds in two-dimensional grayscale images. The system supposes that given potsherds are thin and moderately flat and small. Some earthenware having three-dimensional shape, such as crocks, can be reconstructed by the system within the supposition. The system performs earthenware reconstruction through two phases. At the first phase, potsherds are joined automatically in two dimensions. An efficient joint detection algorithm using surface pattern and shape similarity is proposed at this phase. At the second phase, three-dimensional shape is recovered by an adequate three-dimensional transformation. Some experimental results of reconstruction from numerous potsherds are also reported.\",\"PeriodicalId\":365627,\"journal\":{\"name\":\"Proceedings 11th International Conference on Image Analysis and Processing\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 11th International Conference on Image Analysis and Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIAP.2001.957055\",\"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 11th International Conference on Image Analysis and Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAP.2001.957055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Similarity-based approach to earthenware reconstruction
This paper proposes an earthenware reconstruction system, which can automatically reconstruct some earthenware from numerous given potsherds in two-dimensional grayscale images. The system supposes that given potsherds are thin and moderately flat and small. Some earthenware having three-dimensional shape, such as crocks, can be reconstructed by the system within the supposition. The system performs earthenware reconstruction through two phases. At the first phase, potsherds are joined automatically in two dimensions. An efficient joint detection algorithm using surface pattern and shape similarity is proposed at this phase. At the second phase, three-dimensional shape is recovered by an adequate three-dimensional transformation. Some experimental results of reconstruction from numerous potsherds are also reported.