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» Robust Egomotion Estimation from Affine Motion Parallax
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CVPR
1999
IEEE
14 years 9 months ago
Estimation of Epipolar Geometry from Apparent Contours: Affine and Circular Motion Cases
This paper addresses the problem of estimating the epipolar geometry from apparent contours in two special cases: under weak perspective and for circular motion. An appropriate pa...
Paulo R. S. Mendonça, Roberto Cipolla
ICPR
2004
IEEE
14 years 8 months ago
Non-Iterative Approach to Multiple 2D Motion Estimation
We present an innovative method estimating multiple 2D motions from uncalibrated images. Our approach robustly and non-iteratively estimates multiple 2D parametric motions, affine...
Eun-Young Kang, Gérard G. Medioni, Isaac Co...
CVPR
1998
IEEE
14 years 9 months ago
Motion Feature Detection Using Steerable Flow Fields
The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as line...
David J. Fleet, Michael J. Black, Allan D. Jepson
3DPVT
2006
IEEE
139views Visualization» more  3DPVT 2006»
14 years 1 months ago
A Probabilistic Notion of Correspondence and the Epipolar Constraint
We present a probabilistic framework for correspondence and egomotion. First, we suggest computing probability distributions of correspondence. This has the advantage of being rob...
Justin Domke, Yiannis Aloimonos
SSIAI
2000
IEEE
13 years 11 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal