{"title":"3D Scan-based Wavelet Transform for multiresolution meshes","authors":"Akram Elkefi, M. Antonini, C. Amar","doi":"10.5281/ZENODO.38586","DOIUrl":null,"url":null,"abstract":"In this paper we introduce a method allowing to perform a Scan-based Wavelet Transform of 3D semi-regular multiresolution meshes. This method consists in processing the datas progressively during the acquisition while reducing considerably memory usage. The experiments show that the method is very effective in terms of memory usage and access. Moreover the proposed algorithm allows to reduce the complexity of processing from O(N2) to O(N).","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 12th European Signal Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.38586","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In this paper we introduce a method allowing to perform a Scan-based Wavelet Transform of 3D semi-regular multiresolution meshes. This method consists in processing the datas progressively during the acquisition while reducing considerably memory usage. The experiments show that the method is very effective in terms of memory usage and access. Moreover the proposed algorithm allows to reduce the complexity of processing from O(N2) to O(N).