Karina Ruby Perez-Daniel, E. E. Hernández, M. Nakano-Miyatake, H. Meana
{"title":"An Atomic function-based approach of Harris Affine detector","authors":"Karina Ruby Perez-Daniel, E. E. Hernández, M. Nakano-Miyatake, H. Meana","doi":"10.1109/SoMeT.2013.6645678","DOIUrl":null,"url":null,"abstract":"This paper propose a new interest point detector, denominated Atomic Harris-Affine detector, in which the Gaussian function is replaced by a 2D up(x,y) Atomic function (AF). Proposed scheme takes advantage of the desirable characteristics of AF, such as compact support and low spectral leakage. The simulation results show that proposed detector improves repeatability and convergence rate on, 15% and 20%, respectively, compared with the conventional one under several image conditions, such as illumination, viewpoints, blurring level, rotation angle, scaling factor and JPEG lossy compression rate. Also the detection accuracy of proposed detector allows a faster detection of interest points compared with the conventional one.","PeriodicalId":447065,"journal":{"name":"2013 IEEE 12th International Conference on Intelligent Software Methodologies, Tools and Techniques (SoMeT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 12th International Conference on Intelligent Software Methodologies, Tools and Techniques (SoMeT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SoMeT.2013.6645678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper propose a new interest point detector, denominated Atomic Harris-Affine detector, in which the Gaussian function is replaced by a 2D up(x,y) Atomic function (AF). Proposed scheme takes advantage of the desirable characteristics of AF, such as compact support and low spectral leakage. The simulation results show that proposed detector improves repeatability and convergence rate on, 15% and 20%, respectively, compared with the conventional one under several image conditions, such as illumination, viewpoints, blurring level, rotation angle, scaling factor and JPEG lossy compression rate. Also the detection accuracy of proposed detector allows a faster detection of interest points compared with the conventional one.