{"title":"利用恢复力的形状演变","authors":"A. G. Bianchi, H. Hentschel, L. Costa","doi":"10.1109/SIBGRA.2002.1167193","DOIUrl":null,"url":null,"abstract":"This paper presents a mathematical formulation of neural shape changes. The dynamics of the model for the evolution of the elastic cell membrane is based on a system of coupled springs under the action of internal and external forces, based on the biology of neural development and growth. Although this article presents a simple implementation, improvements can be performed by adding active contours to the formulation, enabling a more complete description.","PeriodicalId":286814,"journal":{"name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Shape evolution using restoration forces\",\"authors\":\"A. G. Bianchi, H. Hentschel, L. Costa\",\"doi\":\"10.1109/SIBGRA.2002.1167193\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a mathematical formulation of neural shape changes. The dynamics of the model for the evolution of the elastic cell membrane is based on a system of coupled springs under the action of internal and external forces, based on the biology of neural development and growth. Although this article presents a simple implementation, improvements can be performed by adding active contours to the formulation, enabling a more complete description.\",\"PeriodicalId\":286814,\"journal\":{\"name\":\"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBGRA.2002.1167193\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBGRA.2002.1167193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a mathematical formulation of neural shape changes. The dynamics of the model for the evolution of the elastic cell membrane is based on a system of coupled springs under the action of internal and external forces, based on the biology of neural development and growth. Although this article presents a simple implementation, improvements can be performed by adding active contours to the formulation, enabling a more complete description.
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