Charles Malleson, M. Klaudiny, Jean-Yves Guillemaut, A. Hilton
{"title":"Structured Representation of Non-Rigid Surfaces from Single View 3D Point Tracks","authors":"Charles Malleson, M. Klaudiny, Jean-Yves Guillemaut, A. Hilton","doi":"10.1109/3DV.2014.13","DOIUrl":null,"url":null,"abstract":"This work considers the problem of structured representation of dynamic surfaces from incomplete 3D point tracks from a single viewpoint. The surface is segmented into a set of connected regions each of which can be represented by a fixed intrinsic shape and a parametrised rigid/non-rigid motion trajectory. Neither the model parameters nor the point-to-model assignments are known upfront. Motion and geometric shape parameters are estimated in alternation with a graph-cuts based point-to-model assignment. This modelling process facilitates in-filling of missing data as well as de-noising of measurements by temporal integration while adding meaningful structure to the geometry and reducing storage cost by an order of magnitude. Experiments are presented for real and synthetic sequences to validate the approach and show how a single tuning parameter can be used to trade modelling error with extrapolation level and storage cost.","PeriodicalId":275516,"journal":{"name":"2014 2nd International Conference on 3D Vision","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 2nd International Conference on 3D Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3DV.2014.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This work considers the problem of structured representation of dynamic surfaces from incomplete 3D point tracks from a single viewpoint. The surface is segmented into a set of connected regions each of which can be represented by a fixed intrinsic shape and a parametrised rigid/non-rigid motion trajectory. Neither the model parameters nor the point-to-model assignments are known upfront. Motion and geometric shape parameters are estimated in alternation with a graph-cuts based point-to-model assignment. This modelling process facilitates in-filling of missing data as well as de-noising of measurements by temporal integration while adding meaningful structure to the geometry and reducing storage cost by an order of magnitude. Experiments are presented for real and synthetic sequences to validate the approach and show how a single tuning parameter can be used to trade modelling error with extrapolation level and storage cost.