{"title":"曲线运动约束方程及其应用","authors":"S. Gong","doi":"10.1109/WVM.1989.47096","DOIUrl":null,"url":null,"abstract":"To understand the parallel computation of optic flow, the author introduces a novel algorithm to compute the flow field at certain locations in the image. These locations are on the gradient edges, called seeds. The proposed curve motion constraint equation provides additional constraints to fully and locally estimate the flow field at seeds. Initial computational experiments have used the improved local flow as the initial input to E.C. Hildreth's algorithm (1984). Results show that Hildreth's method is about ten times slower than the one proposed.<<ETX>>","PeriodicalId":342419,"journal":{"name":"[1989] Proceedings. Workshop on Visual Motion","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Curve motion constraint equation and its applications\",\"authors\":\"S. Gong\",\"doi\":\"10.1109/WVM.1989.47096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To understand the parallel computation of optic flow, the author introduces a novel algorithm to compute the flow field at certain locations in the image. These locations are on the gradient edges, called seeds. The proposed curve motion constraint equation provides additional constraints to fully and locally estimate the flow field at seeds. Initial computational experiments have used the improved local flow as the initial input to E.C. Hildreth's algorithm (1984). Results show that Hildreth's method is about ten times slower than the one proposed.<<ETX>>\",\"PeriodicalId\":342419,\"journal\":{\"name\":\"[1989] Proceedings. Workshop on Visual Motion\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1989] Proceedings. Workshop on Visual Motion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WVM.1989.47096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1989] Proceedings. Workshop on Visual Motion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WVM.1989.47096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Curve motion constraint equation and its applications
To understand the parallel computation of optic flow, the author introduces a novel algorithm to compute the flow field at certain locations in the image. These locations are on the gradient edges, called seeds. The proposed curve motion constraint equation provides additional constraints to fully and locally estimate the flow field at seeds. Initial computational experiments have used the improved local flow as the initial input to E.C. Hildreth's algorithm (1984). Results show that Hildreth's method is about ten times slower than the one proposed.<>