I. Kakadiaris, M. Papadakis, Lixin Shen, D. Kouri, D. Hoffman
{"title":"m-HDAF multiresolution deformable models","authors":"I. Kakadiaris, M. Papadakis, Lixin Shen, D. Kouri, D. Hoffman","doi":"10.1109/ICDSP.2002.1028138","DOIUrl":null,"url":null,"abstract":"In this paper, we construct a new class of deformable models using new orthogonal wavelets, named modified Hermite distributed approximating functional (m-HDAF) wavelets. The scaling functions of this new family are symmetric and the corresponding wavelets optimize their smoothness for a given number of vanishing moments. In addition, we embed these multiresolution deformable models to the physics-based deformable model framework and use them for fitting 2D and 3D data. We have performed a number of experiments with both synthetic and real data with very encouraging results.","PeriodicalId":351073,"journal":{"name":"2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSP.2002.1028138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
In this paper, we construct a new class of deformable models using new orthogonal wavelets, named modified Hermite distributed approximating functional (m-HDAF) wavelets. The scaling functions of this new family are symmetric and the corresponding wavelets optimize their smoothness for a given number of vanishing moments. In addition, we embed these multiresolution deformable models to the physics-based deformable model framework and use them for fitting 2D and 3D data. We have performed a number of experiments with both synthetic and real data with very encouraging results.