@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, BA, Brazil",
conference-year = "26-29 Aug. 2015",
language = "en",
ibi = "8JMKD3MGPBW34M/3K2HQQH",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3K2HQQH",
targetfile = "jonathan_sibgrapi_v4.pdf",
urlaccessdate = "2024, Apr. 27"
}