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%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2015/08.06.22.10
%2 sid.inpe.br/sibgrapi/2015/08.06.22.10.30
%T Per-Pixel Mirror-Based Acquisition Method for Video Compressive Sensing
%D 2015
%A Lima, Jonathan Alis,
%A Miosso, Cristiano Jacques,
%A Farias, Mylène C. Q.,
%@affiliation Department of Computer Science, University of Brasilia
%@affiliation Faculdade do UnB Gama, University of Brasilia
%@affiliation Department of Electrical Engineering, University of Brasilia
%E Segundo, Maurício Pamplona,
%E Faria, Fabio Augusto,
%B Conference on Graphics, Patterns and Images, 28 (SIBGRAPI)
%C Salvador
%8 Aug. 26-29, 2015
%I Sociedade Brasileira de Computação
%J Porto Alegre
%S Proceedings
%K compressive sensing, computational camera, high-speed imaging, video acquisition.
%X 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.
%@language en
%3 jonathan_sibgrapi_v4.pdf


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