Non-iterative approach to multiple 2D motion estimation
- 1 January 2004
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3 (10514651) , 791-794 Vol.4
- https://doi.org/10.1109/icpr.2004.1333891
Abstract
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 (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 estimation method for homography estimation. The robustness of the approach is demonstrated with several results.Keywords
This publication has 9 references indexed in Scilit:
- Robust affine motion estimation in joint image space using tensor votingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A layered approach to stereo reconstructionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Efficient computation of the most probable motion from fuzzy correspondencesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Smoothness in layers: Motion segmentation using nonparametric mixture estimationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- An integrated Bayesian approach to layer extraction from image sequencesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2001
- Multi-frame estimation of planar motionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- Cooperative robust estimation using layers of supportPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1995
- Representing moving images with layersIEEE Transactions on Image Processing, 1994
- Motion Analysis for Image Enhancement: Resolution, Occlusion, and TransparencyJournal of Visual Communication and Image Representation, 1993