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@InProceedings{LimaMiosFari:2015:PeMiAc,
               author = "Lima, Jonathan Alis and Miosso, Cristiano Jacques and Farias, 
                         Myl{\`e}ne C. Q.",
          affiliation = "Department of Computer Science, University of Brasilia and 
                         Faculdade do UnB Gama, University of Brasilia and Department of 
                         Electrical Engineering, University of Brasilia",
                title = "Per-Pixel Mirror-Based Acquisition Method for Video Compressive 
                         Sensing",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Segundo, Maur{\'{\i}}cio Pamplona and Faria, Fabio Augusto",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "compressive sensing, computational camera, high-speed imaging, 
                         video acquisition.",
             abstract = "High speed imaging requires high bandwidth and fast image sensors, 
                         what makes it very expensive. With recent developments in the area 
                         of compressive sensing and computational photography, new methods 
                         are being developed to reconstruct high speed video from low speed 
                         cameras using light modulators (global and per-pixel shutters). 
                         However, these methods present problems like time dependent 
                         measurements and low light efficiency. In this work, we propose a 
                         new acquisition method, called the per-pixel mirror-based 
                         acquisition method, that uses a new kind of light modulator. 
                         Results show that, when compared to methods available in the 
                         literature, the proposed method (and its variations) presents 
                         better performance in terms of quality and light efficiency.",
  conference-location = "Salvador",
      conference-year = "Aug. 26-29, 2015",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3K2HQQH",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3K2HQQH",
           targetfile = "jonathan_sibgrapi_v4.pdf",
        urlaccessdate = "2021, Dec. 04"
}


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