L. B. Wolff, T. A. Mancini, P. Pouliquen, A. Andreou
{"title":"Liquid crystal polarization camera","authors":"L. B. Wolff, T. A. Mancini, P. Pouliquen, A. Andreou","doi":"10.1117/12.132068","DOIUrl":null,"url":null,"abstract":"Presents a fully automated system which unites CCD camera technology with liquid crystal technology to create a polarization camera capable of sensing the polarization of reflected light from objects at pixel resolution. As polarization affords a more general physical description of light than does intensity, it can therefore provide a richer set of descriptive physical constraints for the understanding of images. The authors present a scheme for mapping polarization states into hue, saturation and intensity which is a very convenient representation for a polarization image. The polarization camera outputs such a color image which can then be used in polarization-based vision methods. The unique vision understanding capabilities of the polarization camera system are demonstrated with experimental results showing polarization-based dielectric/metal material classification, specular reflection and occluding contour segmentations in a fairly complex scene, and surface orientation constraints for object recognition.<<ETX>>","PeriodicalId":153393,"journal":{"name":"[1992] Proceedings IEEE Workshop on Applications of Computer Vision","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"133","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings IEEE Workshop on Applications of Computer Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.132068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 133
Abstract
Presents a fully automated system which unites CCD camera technology with liquid crystal technology to create a polarization camera capable of sensing the polarization of reflected light from objects at pixel resolution. As polarization affords a more general physical description of light than does intensity, it can therefore provide a richer set of descriptive physical constraints for the understanding of images. The authors present a scheme for mapping polarization states into hue, saturation and intensity which is a very convenient representation for a polarization image. The polarization camera outputs such a color image which can then be used in polarization-based vision methods. The unique vision understanding capabilities of the polarization camera system are demonstrated with experimental results showing polarization-based dielectric/metal material classification, specular reflection and occluding contour segmentations in a fairly complex scene, and surface orientation constraints for object recognition.<>