{"title":"三维矩的高效计算","authors":"Bingcheng Li, Songde Ma","doi":"10.1109/ICPR.1994.576218","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed a linear-transform-based method to compute 3D moments. Instead of computing the conventional moments directly, we compute the so-called LT moments which are related with the conventional moments by three linear transforms. By choosing appropriately these transforms, it is shown that the computational complexity can be considerably reduced.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Efficient computation of 3D moments\",\"authors\":\"Bingcheng Li, Songde Ma\",\"doi\":\"10.1109/ICPR.1994.576218\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we proposed a linear-transform-based method to compute 3D moments. Instead of computing the conventional moments directly, we compute the so-called LT moments which are related with the conventional moments by three linear transforms. By choosing appropriately these transforms, it is shown that the computational complexity can be considerably reduced.\",\"PeriodicalId\":312019,\"journal\":{\"name\":\"Proceedings of 12th International Conference on Pattern Recognition\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 12th International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1994.576218\",\"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 of 12th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1994.576218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we proposed a linear-transform-based method to compute 3D moments. Instead of computing the conventional moments directly, we compute the so-called LT moments which are related with the conventional moments by three linear transforms. By choosing appropriately these transforms, it is shown that the computational complexity can be considerably reduced.
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