{"title":"二维工业零件的转换自主识别","authors":"Wei Wen, Andrei Lozzi","doi":"10.1109/ICPR.1992.201652","DOIUrl":null,"url":null,"abstract":"A model-based object analysis method using polygonal representation of the boundary for the recognition of imperfect and possibly occluded 2-D industrial parts is described. The means of recognition leads reliably to the correct association of the subshapes making up the unknown object to those of the model. The scale factor between the object and the model is successfully estimated using a Hough transform like method even when the object is flawed or partially occluded. An example is given to illustrate the method.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Transformation independent recognition of 2-D industrial parts\",\"authors\":\"Wei Wen, Andrei Lozzi\",\"doi\":\"10.1109/ICPR.1992.201652\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A model-based object analysis method using polygonal representation of the boundary for the recognition of imperfect and possibly occluded 2-D industrial parts is described. The means of recognition leads reliably to the correct association of the subshapes making up the unknown object to those of the model. The scale factor between the object and the model is successfully estimated using a Hough transform like method even when the object is flawed or partially occluded. An example is given to illustrate the method.<<ETX>>\",\"PeriodicalId\":410961,\"journal\":{\"name\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1992.201652\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.201652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Transformation independent recognition of 2-D industrial parts
A model-based object analysis method using polygonal representation of the boundary for the recognition of imperfect and possibly occluded 2-D industrial parts is described. The means of recognition leads reliably to the correct association of the subshapes making up the unknown object to those of the model. The scale factor between the object and the model is successfully estimated using a Hough transform like method even when the object is flawed or partially occluded. An example is given to illustrate the method.<>
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