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» Multiple parametric motion model estimation and segmentation
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SSIAI
2000
IEEE
13 years 9 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
ICPR
2004
IEEE
14 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...
Eun-Young Kang, Gérard G. Medioni, Isaac Co...
ICIP
2010
IEEE
13 years 3 months ago
Adaptive motion model selection using a cubic spline based estimation framework
A block based video coder that supports multiple motion models is proposed. Apart from the typical translational motion model, we employ parametric models to more accurately repre...
Haricharan Lakshman, Heiko Schwarz, Thomas Wiegand
IWCM
2004
Springer
13 years 10 months ago
Bayesian Approaches to Motion-Based Image and Video Segmentation
We present a variational approach for segmenting the image plane into regions of piecewise parametric motion given two or more frames from an image sequence. Our model is based on ...
Daniel Cremers
ECCV
2006
Springer
13 years 9 months ago
Direct Segmentation of Multiple 2-D Motion Models of Different Types
We propose a closed form solution for segmenting mixtures of 2-D translational and 2-D affine motion models directly from the image intensities. Our approach exploits the fact that...
Dheeraj Singaraju, René Vidal