{"title":"交叉加权质心在仿射不变量提取中的应用","authors":"Xiangjun Zhao, Jianwei Yang, Rushi Lan, Wensheng Chen","doi":"10.1109/ICIC.2011.46","DOIUrl":null,"url":null,"abstract":"In this paper, cross-weighted centroid (CWC) is constructed to extract affine invariant features. Every point in an image is assigned with a cross-weight based on the distribution of the image. CWC, derived from these weighted points, is affine invariance. Based on the original centroid and CWC of the image, a series of centroids of some affine regions can be obtained by iterating affine region cutting, i.e., ARC. Several affine invariant triangles are constructed. Consequently, affine invariant features can be derived by the area of these triangles. Experiment results show the efficiency of the proposed method.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cross-Weighted Centroid with Application to the Extraction of Affine Invariants\",\"authors\":\"Xiangjun Zhao, Jianwei Yang, Rushi Lan, Wensheng Chen\",\"doi\":\"10.1109/ICIC.2011.46\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, cross-weighted centroid (CWC) is constructed to extract affine invariant features. Every point in an image is assigned with a cross-weight based on the distribution of the image. CWC, derived from these weighted points, is affine invariance. Based on the original centroid and CWC of the image, a series of centroids of some affine regions can be obtained by iterating affine region cutting, i.e., ARC. Several affine invariant triangles are constructed. Consequently, affine invariant features can be derived by the area of these triangles. Experiment results show the efficiency of the proposed method.\",\"PeriodicalId\":6397,\"journal\":{\"name\":\"2011 Fourth International Conference on Information and Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Conference on Information and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIC.2011.46\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Conference on Information and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIC.2011.46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cross-Weighted Centroid with Application to the Extraction of Affine Invariants
In this paper, cross-weighted centroid (CWC) is constructed to extract affine invariant features. Every point in an image is assigned with a cross-weight based on the distribution of the image. CWC, derived from these weighted points, is affine invariance. Based on the original centroid and CWC of the image, a series of centroids of some affine regions can be obtained by iterating affine region cutting, i.e., ARC. Several affine invariant triangles are constructed. Consequently, affine invariant features can be derived by the area of these triangles. Experiment results show the efficiency of the proposed method.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
