Tag Archives: MRF

(English) A MRF formulation for coded structured light

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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 , , | Leave a comment

(English) MRF solutions for probabilistic optical flow formulations

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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

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(English) Graph cut: Application to Bayesian Emission Tomography Reconstruction

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Posted in ICIAP, Jean Meunier, Martin Bonneville, Sébastien Roy | Tagged , , , | Leave a comment

(English) A Maximum-Flow Formulation of the N-camera Stereo Correspondence Problem

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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

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