{"title":"移动设备对象识别算法","authors":"R. Kozik, A. Marchewka","doi":"10.2478/v10248-012-0088-x","DOIUrl":null,"url":null,"abstract":"Abstract In this paper an object recognition algorithm for mobile devices is presented. The algorithm is based on a hierarchical approach for visual information coding proposed by Riesenhuber and Poggio [1] and later extended by Serre et al. [2]. The proposed method adapts an efficient algorithm to extract the information about local gradients. This allows the algorithm to approximate the behaviour of simple cells layer of Riesenhuber and Poggio model. Moreover, it is also demonstrated that the proposed algorithm can be successfully deployed on a low-cost Android smartphone.","PeriodicalId":271906,"journal":{"name":"Image Processing & Communications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Object recognition algorithm for mobile devices\",\"authors\":\"R. Kozik, A. Marchewka\",\"doi\":\"10.2478/v10248-012-0088-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract In this paper an object recognition algorithm for mobile devices is presented. The algorithm is based on a hierarchical approach for visual information coding proposed by Riesenhuber and Poggio [1] and later extended by Serre et al. [2]. The proposed method adapts an efficient algorithm to extract the information about local gradients. This allows the algorithm to approximate the behaviour of simple cells layer of Riesenhuber and Poggio model. Moreover, it is also demonstrated that the proposed algorithm can be successfully deployed on a low-cost Android smartphone.\",\"PeriodicalId\":271906,\"journal\":{\"name\":\"Image Processing & Communications\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Image Processing & Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/v10248-012-0088-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Image Processing & Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/v10248-012-0088-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstract In this paper an object recognition algorithm for mobile devices is presented. The algorithm is based on a hierarchical approach for visual information coding proposed by Riesenhuber and Poggio [1] and later extended by Serre et al. [2]. The proposed method adapts an efficient algorithm to extract the information about local gradients. This allows the algorithm to approximate the behaviour of simple cells layer of Riesenhuber and Poggio model. Moreover, it is also demonstrated that the proposed algorithm can be successfully deployed on a low-cost Android smartphone.