{"title":"机器视觉SIFT在工业自动化中的应用评价","authors":"Gunter N. Loch, Charbel Szymanski, M. Stemmer","doi":"10.1109/INDIN.2013.6622920","DOIUrl":null,"url":null,"abstract":"This paper presents an evaluation of the SIFT (Scale-Invariant Feature Transform) algorithm against two scenarios related to industrial automation. The first one is related to automated inspection systems. The second scenario describes a vision-based robot and vehicle navigation. The evaluation was performed in the sense of verifying if SIFT complies with the requirements of both scenarios, and identify how this is done.","PeriodicalId":6312,"journal":{"name":"2013 11th IEEE International Conference on Industrial Informatics (INDIN)","volume":"39 1","pages":"414-419"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Evaluation of SIFT in machine vision applied to industrial automation\",\"authors\":\"Gunter N. Loch, Charbel Szymanski, M. Stemmer\",\"doi\":\"10.1109/INDIN.2013.6622920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an evaluation of the SIFT (Scale-Invariant Feature Transform) algorithm against two scenarios related to industrial automation. The first one is related to automated inspection systems. The second scenario describes a vision-based robot and vehicle navigation. The evaluation was performed in the sense of verifying if SIFT complies with the requirements of both scenarios, and identify how this is done.\",\"PeriodicalId\":6312,\"journal\":{\"name\":\"2013 11th IEEE International Conference on Industrial Informatics (INDIN)\",\"volume\":\"39 1\",\"pages\":\"414-419\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 11th IEEE International Conference on Industrial Informatics (INDIN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDIN.2013.6622920\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 11th IEEE International Conference on Industrial Informatics (INDIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIN.2013.6622920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of SIFT in machine vision applied to industrial automation
This paper presents an evaluation of the SIFT (Scale-Invariant Feature Transform) algorithm against two scenarios related to industrial automation. The first one is related to automated inspection systems. The second scenario describes a vision-based robot and vehicle navigation. The evaluation was performed in the sense of verifying if SIFT complies with the requirements of both scenarios, and identify how this is done.
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