{"title":"一种基于动态规划的轮廓提取新方法","authors":"Yu Ting, Luo Yupin","doi":"10.1109/ICOSP.2002.1181181","DOIUrl":null,"url":null,"abstract":"Geometric contour, as an important object feature, has been used for shape matching and object recognition. E.N. Mortensen and W.A. Barrett (Proc. SIGGRAPH 95 Conf., p.191-8, 1995) proposed a method for contour extraction. Based on Dijkstra's 2D dynamic programming, the method has a number of advantages over previous approaches. However, the drawbacks of this method are its interactive requirement during the optimal search and high computational complexity. We propose a new optimal search strategy to avoid the interactive requirement by allowing variations of the control points and integrating a multi-resolution framework to reduce computational complexity. Experiments show the effectiveness of our proposed approach.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"539 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A novel method of contour extraction based on dynamic programming\",\"authors\":\"Yu Ting, Luo Yupin\",\"doi\":\"10.1109/ICOSP.2002.1181181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Geometric contour, as an important object feature, has been used for shape matching and object recognition. E.N. Mortensen and W.A. Barrett (Proc. SIGGRAPH 95 Conf., p.191-8, 1995) proposed a method for contour extraction. Based on Dijkstra's 2D dynamic programming, the method has a number of advantages over previous approaches. However, the drawbacks of this method are its interactive requirement during the optimal search and high computational complexity. We propose a new optimal search strategy to avoid the interactive requirement by allowing variations of the control points and integrating a multi-resolution framework to reduce computational complexity. Experiments show the effectiveness of our proposed approach.\",\"PeriodicalId\":159807,\"journal\":{\"name\":\"6th International Conference on Signal Processing, 2002.\",\"volume\":\"539 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"6th International Conference on Signal Processing, 2002.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSP.2002.1181181\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Conference on Signal Processing, 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.2002.1181181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel method of contour extraction based on dynamic programming
Geometric contour, as an important object feature, has been used for shape matching and object recognition. E.N. Mortensen and W.A. Barrett (Proc. SIGGRAPH 95 Conf., p.191-8, 1995) proposed a method for contour extraction. Based on Dijkstra's 2D dynamic programming, the method has a number of advantages over previous approaches. However, the drawbacks of this method are its interactive requirement during the optimal search and high computational complexity. We propose a new optimal search strategy to avoid the interactive requirement by allowing variations of the control points and integrating a multi-resolution framework to reduce computational complexity. Experiments show the effectiveness of our proposed approach.