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@InProceedings{BorsatoMori:2017:BuStLi,
               author = "Borsato, Frank Helbert and Morimoto, Carlos Hitoshi",
          affiliation = "{Universidade Tecnol{\'o}gica Federal do Paran{\'a}} and 
                         {Universidade de S{\~a}o Paulo}",
                title = "Building structured lighting applications using low-cost cameras",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "camera synchronization, structured lighting, differential 
                         lighting.",
             abstract = "Structured lighting is a computer vision technique that projects 
                         illumination patterns onto the scene to facilitate feature 
                         extraction from the captured images. The use of low-cost cameras 
                         is avoided not only due to their low image quality but mostly due 
                         to the lack of a synchronization mechanism for the illuminators. 
                         In this paper we propose a method to synchronize low-cost cameras 
                         and illuminators based on the dynamic estimation of the camera 
                         sensor exposure and number of lines. At the same time, the use of 
                         structured stroboscopic lighting is used to enhance the image 
                         quality. Starting with a coarse estimation of the sensor 
                         parameters, we developed computer vision algorithms that detect 
                         image artifacts created by the structured lighting when the 
                         illuminators are not correctly synchronized with the camera 
                         frames. The detected artifacts are used to refine the estimation 
                         of the sensor parameters and to adjust the firing of the 
                         illuminators until a clear picture is obtained. Our technique 
                         requires a simple external circuit to control the firing of the 
                         illuminators, that is adjusted by software, and allows virtually 
                         any modern digital camera to be used in structured lighting 
                         applications. We demonstrate the use of this technique in a fast 
                         187 fps robust pupil detector that can be used for gaze 
                         interaction applications.",
  conference-location = "Niter{\'o}i, RJ",
      conference-year = "Oct. 17-20, 2017",
             language = "en",
           targetfile = "PID4959721.pdf",
        urlaccessdate = "2021, Jan. 21"
}


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