{"title":"SIFT algorithm analysis and optimization","authors":"Zhu Daixian","doi":"10.1109/IASP.2010.5476084","DOIUrl":null,"url":null,"abstract":"Due to good invariance of scale, rotation, illumination, SIFT (Scale Invariant Feature Transform) descriptor is commonly used in image matching. The steps of extracting SIFT feature are analyzed in detail, and SIFT Key-point location is optimized. The Chamfer distance is used in this article; it decreases computation time and improves the accuracy of image matching. The experimental results show that the algorithm can reduce time complexity and maintain robust quality at the same time.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Image Analysis and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IASP.2010.5476084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
Due to good invariance of scale, rotation, illumination, SIFT (Scale Invariant Feature Transform) descriptor is commonly used in image matching. The steps of extracting SIFT feature are analyzed in detail, and SIFT Key-point location is optimized. The Chamfer distance is used in this article; it decreases computation time and improves the accuracy of image matching. The experimental results show that the algorithm can reduce time complexity and maintain robust quality at the same time.