{"title":"yBRIEF: A study of non-Gaussian Binary Elementary Features","authors":"Jian-Feng Shi, S. Ulrich, S. Ruel","doi":"10.1109/ICIVC.2017.7984524","DOIUrl":null,"url":null,"abstract":"This paper studies an image descriptor that mimics the retina's photo receiving cell pattern. Various pattern differencing combinations and second order differencing techniques were explored. This new method shows higher precision and recall performance than the classical BRIEF and steered BRIEF descriptors.","PeriodicalId":181522,"journal":{"name":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd International Conference on Image, Vision and Computing (ICIVC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIVC.2017.7984524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper studies an image descriptor that mimics the retina's photo receiving cell pattern. Various pattern differencing combinations and second order differencing techniques were explored. This new method shows higher precision and recall performance than the classical BRIEF and steered BRIEF descriptors.