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Tag Archives: MRF
(English) A MRF formulation for coded structured light
Abstract Multimedia projectors and cameras make possible the use of structured light to solve problems such as 3D reconstruction, disparity map computation and camera or projector calibration. Each projector displays patterns over a scene viewed by a camera, thereby allowing … Continue reading
Posted in 3DIM, Jean-Philippe Tardif, Sébastien Roy
Tagged champs aléatoires de Markov, lumière structurée, MRF
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(English) MRF solutions for probabilistic optical flow formulations
Abstract In this paper we propose an efficient, non-iterative method for estimating optical flow. We develop a probabilistic framework that is appropriate for describing the inherent uncertainty in the brightness constraint due to errors in image derivative computation. We separate … Continue reading
Posted in ICPR, Sébastien Roy, Venu Govindu
Tagged champs aléatoires de Markov, flux optique, mouvement, MRF
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(English) A Maximum-Flow Formulation of the N-camera Stereo Correspondence Problem
Abstract (see paper) Reference Sébastien Roy and Ingemar J. Cox, A Maximum-Flow Formulation of the N-camera Stereo Correspondence Problem, Int. Conf. on Computer Vision (ICCV’98), Bombay, India, January 1998, pp. 492-499. Document roycoxiccv98.pdf
Posted in ICCV, Ingemar Cox, Sébastien Roy
Tagged champs aléatoires de Markov, maximum-flow, MRF, stéréo
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