{"title":"A homotopy model for cup lifting","authors":"K. Ohmori, T. Kunii","doi":"10.1109/CGI.2000.852327","DOIUrl":null,"url":null,"abstract":"Introduces two new theoretical tools - homotopy and cellular structured spaces - for visualization. Any object is represented by a filtration space, which is a sequence of skeletons that are topological spaces. Using an attaching function that attaches n-1 dimensional balls to the boundaries of n-dimensional balls, a filtration space is composed inductively and step-by-step, by increasing the dimensions. The space obtained by this process is called a cellular structured space, which is composed of cells. The cellular structured space preserves invariant properties of entities. On the other hand, traditional polygonalization has difficulty in preserving invariant properties. A change from one situation represented by a cellular structured space to another situation of a cellular structured space is represented by a homotopy if the change is continuous. Using homotopy and cellular structured spaces, invariant properties are preserved while very large data compression is achieved.","PeriodicalId":357548,"journal":{"name":"Proceedings Computer Graphics International 2000","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Computer Graphics International 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CGI.2000.852327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Introduces two new theoretical tools - homotopy and cellular structured spaces - for visualization. Any object is represented by a filtration space, which is a sequence of skeletons that are topological spaces. Using an attaching function that attaches n-1 dimensional balls to the boundaries of n-dimensional balls, a filtration space is composed inductively and step-by-step, by increasing the dimensions. The space obtained by this process is called a cellular structured space, which is composed of cells. The cellular structured space preserves invariant properties of entities. On the other hand, traditional polygonalization has difficulty in preserving invariant properties. A change from one situation represented by a cellular structured space to another situation of a cellular structured space is represented by a homotopy if the change is continuous. Using homotopy and cellular structured spaces, invariant properties are preserved while very large data compression is achieved.