{"title":"A Subpixel Image Matching Technique Using Phase-Only Correlation","authors":"S. Nagashima, T. Aoki, T. Higuchi, K. Kobayashi","doi":"10.1109/ISPACS.2006.364751","DOIUrl":null,"url":null,"abstract":"This paper presents a high-accuracy image matching technique using a phase-only correlation (POC) function. The POC-based image matching enables estimation of image displacements with 1/10~1/100-pixel accuracy by a function fitting technique using the closed-form representation of the POC function's peak. This method requires an iterative process for the nonlinear function fitting, resulting in long computation times. In this paper, we propose a peak evaluation formula (PEF) that directly estimates the correlation peak location from actual 2-D data array of the POC function. Experimental evaluation shows that the proposed method reduces computation time without sacrificing image matching accuracy","PeriodicalId":178644,"journal":{"name":"2006 International Symposium on Intelligent Signal Processing and Communications","volume":"8 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"61","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Symposium on Intelligent Signal Processing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2006.364751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 61
Abstract
This paper presents a high-accuracy image matching technique using a phase-only correlation (POC) function. The POC-based image matching enables estimation of image displacements with 1/10~1/100-pixel accuracy by a function fitting technique using the closed-form representation of the POC function's peak. This method requires an iterative process for the nonlinear function fitting, resulting in long computation times. In this paper, we propose a peak evaluation formula (PEF) that directly estimates the correlation peak location from actual 2-D data array of the POC function. Experimental evaluation shows that the proposed method reduces computation time without sacrificing image matching accuracy