{"title":"在连接机上使用几何散列的对象识别","authors":"Olivier Bourdon, G. Medioni","doi":"10.1109/ICPR.1990.119438","DOIUrl":null,"url":null,"abstract":"A parallel implementation of a system to recognize 2D objects under realistic scenarios (occlusion, rotation, translation, and perspective) is presented. A preprocessing phase and a recognition phase are used. Both phases have been implemented on the Connection Machine, achieving O(n/sup -x/) with n/sup x/ processors (x<or=4) for preprocessing and O(n/sup 2/) for recognition. The performance on the Connection Machine is compared with an implementation on a Sun 3/260.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":"{\"title\":\"Object recognition using geometric hashing on the Connection Machine\",\"authors\":\"Olivier Bourdon, G. Medioni\",\"doi\":\"10.1109/ICPR.1990.119438\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A parallel implementation of a system to recognize 2D objects under realistic scenarios (occlusion, rotation, translation, and perspective) is presented. A preprocessing phase and a recognition phase are used. Both phases have been implemented on the Connection Machine, achieving O(n/sup -x/) with n/sup x/ processors (x<or=4) for preprocessing and O(n/sup 2/) for recognition. The performance on the Connection Machine is compared with an implementation on a Sun 3/260.<<ETX>>\",\"PeriodicalId\":135937,\"journal\":{\"name\":\"[1990] Proceedings. 10th International Conference on Pattern Recognition\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"32\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1990] Proceedings. 10th International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1990.119438\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1990] Proceedings. 10th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1990.119438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Object recognition using geometric hashing on the Connection Machine
A parallel implementation of a system to recognize 2D objects under realistic scenarios (occlusion, rotation, translation, and perspective) is presented. A preprocessing phase and a recognition phase are used. Both phases have been implemented on the Connection Machine, achieving O(n/sup -x/) with n/sup x/ processors (x>