Tag Archives: mouvement

Two-frame frequency-based estimation of local motion parallax direction in 3D cluttered scenes

V. Couture, M.S. Langer, A. Caine, R. Mann. Two-frame frequency-based estimation of local motion parallax direction in 3D cluttered scenes, 6th International Conference on 3-D Digital Imaging and Modeling, Montreal (Canada), August 2007, pp 357-364. Abstract When an observer moves … Continue reading

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Can Lucas-Kanade be used to estimate motion parallax in cluttered 3D scenes?

V. Couture and M.S. Langer. Can Lucas-Kanade be used to estimate motion parallax in cluttered 3D scenes?, 4th Canadian Conference on Computer and Robot Vision, Montreal (Canada), May 2007. Abstract When an observer moves in a 3D static scene, the … Continue reading

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Motion parallax without motion compensation in 3D cluttered scenes

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M.S. Langer, V. Chapdelaine-Couture, R. Mann, S. Roy. Motion parallax without motion compensation in 3D cluttered scenes, Third International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT), Chapel Hill (USA), June 2006. Abstract When an observer moves through a … Continue reading

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(English) Solving Motion Planes by Projection and Ring Integration

Abstract We present a new method to find motion planes in energy based and spatio-temporal derivative optical flow. Because our method makes few assumptions about the motion model and the number of motions present in the sampling window, we are … Continue reading

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Principal Components Analysis of Optical Snow

V. Chapdelaine-Couture, S. Roy, M. S. Langer, R. Mann. Principal components analysis of optical snow, British Machine Vision Conference (BMVC), London U.K., pp. 799-808, 2004. Abstract Many applications in computer vision use Principal Components Analysis (PCA), for example, in camera … Continue reading

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A Global Analysis of Optical Snow for Arbitrary Camera Motions

V. Chapdelaine-Couture, Sébastien Roy. A Global Analysis of Optical Snow for Arbitrary Camera Motions, In Irish Machine Vision and Image Processing Conference, Dublin (Ireland), September 2004, pages 210-215. Abstract Optical snow is a new category of motion for highly cluttered … Continue reading

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(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) Motion Without Structure

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Abstract (see paper) Reference Sébastien Roy and Ingemar J. Cox, Motion Without Structure, Int. Conf. on Pattern Recognition (ICPR’96), Vienna, Austria, August 1996, vol. 1, pp. 728-734. Document roycoxicpr96.pdf

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(English) Direct Estimation of Rotation from Two Frames via Epipolar Search

Abstract Reference Sébastien Roy and Ingemar J. Cox, Direct Estimation of Rotation from Two Frames via Epipolar Search, Int. Conf. on Computer Analysis of Images and Patterns (CAIP’95), Prague, Czech Republic, September 1995, po. 880-887. Document roycoxcaip95.pdf

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(English) Statistical modelling of epipolar misalignment

Abstract (see paper) Refrence Ingemar J. Cox and Sébastien Roy, Statistical modelling of epipolar misalignment, Int. Workshop on Stereoscopic and 3D Imaging, Santorini, Greece, September 1995, pp. 115-121 Document coxroyiws3di95.pdf

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