Tag Archives: flux optique

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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Une approche globale à l’estimation du mouvement de caméra pour des scènes encombrées

This master’s thesis is a research in the field of computer vision and deals with egomotion estimation from a video sequence. Solving egomotion can lead to many applications, like automated navigation for instance. We analyse videos of cluttered scenes, composed … 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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