{"title":"Multi-focus application in mobile phone","authors":"Trong-An Bui, Chih-Chun Lin, Pei-Jun Lee","doi":"10.1109/ICSSE.2017.8030845","DOIUrl":null,"url":null,"abstract":"This paper proposes an object based multi-focus method which is implemented on mobile device. To achieve low computation complexity in the same object determination for multi input image, this paper adapts Oriented FAST and Rotated BRIEF algorithm to detect feature points. To perform the identification of focused regions and the objects within the image, this paper proposes the method of aggregating information from the recognition of the edge on image. By all algorithms and implementing methods, we will carry out entirely on mobile platform. We intend to take advantage of smartphone's enhanced flexibility and high performance to make the selection of areas via the touch screen of the mobile device.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE.2017.8030845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes an object based multi-focus method which is implemented on mobile device. To achieve low computation complexity in the same object determination for multi input image, this paper adapts Oriented FAST and Rotated BRIEF algorithm to detect feature points. To perform the identification of focused regions and the objects within the image, this paper proposes the method of aggregating information from the recognition of the edge on image. By all algorithms and implementing methods, we will carry out entirely on mobile platform. We intend to take advantage of smartphone's enhanced flexibility and high performance to make the selection of areas via the touch screen of the mobile device.