{"title":"第三章:正号修正中点决策变量选取到二次曲线的欧氏距离最小的候选点","authors":"V. Huypens","doi":"10.1109/GMAI.2008.8","DOIUrl":null,"url":null,"abstract":"You can expect many new things: 1. An efficient 8-connected algorithm calculating the minimum Euclidean distance to the conic. 2. Bounding the Euclidean distance with the arithmetic mean and midpoint decision variable. 3. Highlighting the out-of-tolerance cases and the formulation of a solution. 4. Restore the renounced two-point decision variable(s). 5. Clear up the midpoint decision variable, by introducing the polar-line of the conic.","PeriodicalId":393559,"journal":{"name":"2008 3rd International Conference on Geometric Modeling and Imaging","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Chapter 3: The Sign Corrected Midpoint Decision Variable Selects the Candidate Point with the Minimum Euclidean Distance to the Conic\",\"authors\":\"V. Huypens\",\"doi\":\"10.1109/GMAI.2008.8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"You can expect many new things: 1. An efficient 8-connected algorithm calculating the minimum Euclidean distance to the conic. 2. Bounding the Euclidean distance with the arithmetic mean and midpoint decision variable. 3. Highlighting the out-of-tolerance cases and the formulation of a solution. 4. Restore the renounced two-point decision variable(s). 5. Clear up the midpoint decision variable, by introducing the polar-line of the conic.\",\"PeriodicalId\":393559,\"journal\":{\"name\":\"2008 3rd International Conference on Geometric Modeling and Imaging\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 3rd International Conference on Geometric Modeling and Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GMAI.2008.8\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 3rd International Conference on Geometric Modeling and Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GMAI.2008.8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Chapter 3: The Sign Corrected Midpoint Decision Variable Selects the Candidate Point with the Minimum Euclidean Distance to the Conic
You can expect many new things: 1. An efficient 8-connected algorithm calculating the minimum Euclidean distance to the conic. 2. Bounding the Euclidean distance with the arithmetic mean and midpoint decision variable. 3. Highlighting the out-of-tolerance cases and the formulation of a solution. 4. Restore the renounced two-point decision variable(s). 5. Clear up the midpoint decision variable, by introducing the polar-line of the conic.