{"title":"目测形状恢复方法","authors":"S. Nayar","doi":"10.1109/ACV.1992.240318","DOIUrl":null,"url":null,"abstract":"The advancement of three-dimensional machine vision is closely related to the development of robust and efficient shape recovery methods. The author addresses the recovery problem associated with three different classes of surfaces: (a) specular surfaces; (b) surfaces with varying reflectance; and (c) rough and textured surfaces. Three realtime machine vision systems have been developed based on these results. Experimental results demonstrate that the proposed methods and systems are applicable to a variety of visual inspection problems.<<ETX>>","PeriodicalId":153393,"journal":{"name":"[1992] Proceedings IEEE Workshop on Applications of Computer Vision","volume":"57 6 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Shape recovery methods for visual inspection\",\"authors\":\"S. Nayar\",\"doi\":\"10.1109/ACV.1992.240318\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The advancement of three-dimensional machine vision is closely related to the development of robust and efficient shape recovery methods. The author addresses the recovery problem associated with three different classes of surfaces: (a) specular surfaces; (b) surfaces with varying reflectance; and (c) rough and textured surfaces. Three realtime machine vision systems have been developed based on these results. Experimental results demonstrate that the proposed methods and systems are applicable to a variety of visual inspection problems.<<ETX>>\",\"PeriodicalId\":153393,\"journal\":{\"name\":\"[1992] Proceedings IEEE Workshop on Applications of Computer Vision\",\"volume\":\"57 6 Suppl 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings IEEE Workshop on Applications of Computer Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACV.1992.240318\",\"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 IEEE Workshop on Applications of Computer Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACV.1992.240318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The advancement of three-dimensional machine vision is closely related to the development of robust and efficient shape recovery methods. The author addresses the recovery problem associated with three different classes of surfaces: (a) specular surfaces; (b) surfaces with varying reflectance; and (c) rough and textured surfaces. Three realtime machine vision systems have been developed based on these results. Experimental results demonstrate that the proposed methods and systems are applicable to a variety of visual inspection problems.<>
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