Apr 17, 2019 · An intuitive approach for defining a robust motion-model selection framework is to draw from classical statistical information criteria. However ...
We define two original propositions for robust motion-model selection. The first one is an extension of the Takeuchi information criterion.
A robust estimation framework is usually required to reliably compute the motion model over the estimation support in the presence of outliers, while the choice ...
A robust estimation framework is usually required to reliably compute the motion model over the estimation support in the presence of outliers, while the choice ...
Robust Model Selection in 2D Parametric Motion Estimation ; Journal: Journal of Mathematical Imaging and Vision, 2019, № 7, p. 1022-1036 ; Publisher: Springer ...
Nov 22, 2016 · Adopting 2D parametric motion models is a common practice in image sequence analysis, for video stabilization [16], im- age stitching [27], ...
Abstract. This paper describes a method to estimate parametric motion models. Motivations for the use of such models are on one hand their efficiency, ...
A method is given to estimate the geometry and motion of a moving body surface from image sequences. To this aim a parametric model of the surface is used, in ...
This paper describes a method to estimate parametric motion models. Motivations for the use of such models are, on one hand, their efficiency.
Missing: Selection | Show results with:Selection
This example shows how to use the Motion2D library to generate the Motion2D binary able to estimate 2D parametric motion models between two successive images of ...