{"title":"基于独立分量分析的仿射不变曲线归一化新技术","authors":"Sait Sener, M. Unel","doi":"10.1109/ICPR.2006.111","DOIUrl":null,"url":null,"abstract":"A new affine invariant curve normalization method using independent component analysis (ICA) is presented. First, principal component analysis (PCA) is used for translation, scale and shear normalization. ICA and the third order moments are then employed for rotation and reflection normalization. It is shown that all affine transformed versions of an object have a unique or canonical representation. Experiments are conducted to asses the robustness of our approach. Proposed normalization technique can be used as a pre-processing for object modeling and recognition","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A New Affine Invariant Curve Normalization Technique Using Independent Component Analysis\",\"authors\":\"Sait Sener, M. Unel\",\"doi\":\"10.1109/ICPR.2006.111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new affine invariant curve normalization method using independent component analysis (ICA) is presented. First, principal component analysis (PCA) is used for translation, scale and shear normalization. ICA and the third order moments are then employed for rotation and reflection normalization. It is shown that all affine transformed versions of an object have a unique or canonical representation. Experiments are conducted to asses the robustness of our approach. Proposed normalization technique can be used as a pre-processing for object modeling and recognition\",\"PeriodicalId\":236033,\"journal\":{\"name\":\"18th International Conference on Pattern Recognition (ICPR'06)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"18th International Conference on Pattern Recognition (ICPR'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.2006.111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th International Conference on Pattern Recognition (ICPR'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.2006.111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Affine Invariant Curve Normalization Technique Using Independent Component Analysis
A new affine invariant curve normalization method using independent component analysis (ICA) is presented. First, principal component analysis (PCA) is used for translation, scale and shear normalization. ICA and the third order moments are then employed for rotation and reflection normalization. It is shown that all affine transformed versions of an object have a unique or canonical representation. Experiments are conducted to asses the robustness of our approach. Proposed normalization technique can be used as a pre-processing for object modeling and recognition