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ICPR
2004
IEEE

Non-Iterative Approach to Multiple 2D Motion Estimation

9 years 6 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 or homography, from noisy initial matches without pre-specifying the number of motions This approach is based on: (1) a parametric motion model to detect and extract 2D affine or homography motions; (2) the representation of matching points in decoupled joint image spaces; (3) the characterization of the property associated with affine transformation in the defined spaces; (4) a non-iterative process to extract multiple 2D motions simultaneously based on tensor-voting; (5) local affine to global homography estimation. The major contribution of our work is the extension to our existing affine motion estimation method for homography estimation. The robustness of the approach is demonstrated with several results.
Eun-Young Kang, Gérard G. Medioni, Isaac Co
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Eun-Young Kang, Gérard G. Medioni, Isaac Cohen
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