{"title":"基于图像的偏振检测与液晶材料识别","authors":"Yi-Hsin Lin, Hao Huang, Yu-Jen Wang, Huai-An Hsieh, Po-Lun Chen","doi":"10.1117/12.2679401","DOIUrl":null,"url":null,"abstract":"We demonstrated an image-based polarization detection system comprising 4 tunable liquid crystal wave plate and 4 polarizers for the measurement of full Stokes parameters and material recognition with a single shot. In this paper, based on polarization property, the metal plate and the glass substrate could be recognized. The one of the applications is to provide a practical way in image-based polarization detection in Advanced Driver Assistance Systems for material recognition which could help in driving safety.","PeriodicalId":145218,"journal":{"name":"Organic Photonics + Electronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image-based polarization detection and material recognition based on liquid crystals\",\"authors\":\"Yi-Hsin Lin, Hao Huang, Yu-Jen Wang, Huai-An Hsieh, Po-Lun Chen\",\"doi\":\"10.1117/12.2679401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We demonstrated an image-based polarization detection system comprising 4 tunable liquid crystal wave plate and 4 polarizers for the measurement of full Stokes parameters and material recognition with a single shot. In this paper, based on polarization property, the metal plate and the glass substrate could be recognized. The one of the applications is to provide a practical way in image-based polarization detection in Advanced Driver Assistance Systems for material recognition which could help in driving safety.\",\"PeriodicalId\":145218,\"journal\":{\"name\":\"Organic Photonics + Electronics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Organic Photonics + Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2679401\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Organic Photonics + Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2679401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image-based polarization detection and material recognition based on liquid crystals
We demonstrated an image-based polarization detection system comprising 4 tunable liquid crystal wave plate and 4 polarizers for the measurement of full Stokes parameters and material recognition with a single shot. In this paper, based on polarization property, the metal plate and the glass substrate could be recognized. The one of the applications is to provide a practical way in image-based polarization detection in Advanced Driver Assistance Systems for material recognition which could help in driving safety.
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