{"title":"An optimization-based mesh-generation method for image representation","authors":"Seyedali Mostafavian, M. Adams","doi":"10.1109/PACRIM.2015.7334840","DOIUrl":null,"url":null,"abstract":"In earlier work, Tu and Adams proposed the ERDED method, an effective technique for generating triangle-mesh models of digital images through explicit representation of discontinuities. In this paper, we propose a modified version of the ERDED method that generates a triangle mesh which better approximates the original image using an optimization-based algorithm. The proposed method is shown to produce image approximations of higher quality than those obtained by the ERDED method, both in terms of squared error and subjective quality. Moreover, this improvement in quality comes at a relatively modest computational cost, with the proposed method typically taking only a few seconds of computation time.","PeriodicalId":350052,"journal":{"name":"2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"20 3-4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.2015.7334840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In earlier work, Tu and Adams proposed the ERDED method, an effective technique for generating triangle-mesh models of digital images through explicit representation of discontinuities. In this paper, we propose a modified version of the ERDED method that generates a triangle mesh which better approximates the original image using an optimization-based algorithm. The proposed method is shown to produce image approximations of higher quality than those obtained by the ERDED method, both in terms of squared error and subjective quality. Moreover, this improvement in quality comes at a relatively modest computational cost, with the proposed method typically taking only a few seconds of computation time.