نتایج جستجو برای: optical flow

تعداد نتایج: 735793  

2011
Tal Nir Ron Kimmel Alfred Bruckstein

We introduce a variational approach for simultaneous optical flow computation and video denoising. The proposed functional includes optical flow terms that depend on the restored sequence and an image sequence restoration term that depends on the optical flow. Our functional results in coupled Euler-Lagrange equations that are solved simultaneously for both the optical flow and the image sequen...

Journal: :CoRR 2017
Laura Sevilla-Lara Yiyi Liao Fatma Güney Varun Jampani Andreas Geiger Michael J. Black

Most of the top performing action recognition methods use optical flow as a “black box” input. Here we take a deeper look at the combination of flow and action recognition, and investigate why optical flow is helpful, what makes a flow method good for action recognition, and how we can make it better. In particular, we investigate the impact of different flow algorithms and input transformation...

2000
Dominique Béréziat Isabelle Herlin Laurent Younes

This paper addresses the issue of motion estimation on image sequences. The standard motion equation used to compute the apparent motion of image irradiance patterns is an invariance brightness based hypothesis called the optical flow constraint. Other equations can be used, in particular the extended optical flow constraint, which is a variant of the optical flow constraint, inspired by the fl...

2003
Robert J. Andrews Brian C. Lovell

Grayscale optical-flow methods have long been the focus of methods for recovering optical flow. Optical flow recovery from color-images can be implemented using direct methods, i.e. without using computationally costly iterations or search strategies. The quality of recovered optical flow can be assessed and tailored after processing, providing an effective, efficient tool for motion estimation...

2004
Michael J.

We conszder the problem of robustly estzmatzng optical flow f rom a paw of zinages uszng a new framework based on robust estimation whzch addresses iizolatzons of the brzghtness constancy and spatzal smoothness asbuinptzons. We also show the rrlatzonshzp between the robust estimation framework and he-process approaches for copzng wzth spatzal dascontznuities. In doang so, we generalaze the notz...

2006
Konstantinos G. Derpanis John K. Tsotsos Hugh R. Wilson

This paper contains a review of the characterization and recovery of motion from image sequences. The main dichotomy of considered approaches is in terms of the extent of the region of description, namely, local (infinitesimal) versus regional. The local consideration concentrates on the recovery of optical flow, while the regional considerations provide richer, potentially semantically meaning...

2002
Steven L. Hartmann Robert L. Galloway Benoit M. Dawant Peter E. Konrad Michael Fitzpatrick Michael I. Miga Robert J. Weil John Song Andy Bass Dave Cash Tuhin Sinha Diane Muratore Mark Bray

............................................................................................................................ 27 Introduction ....................................................................................................................... 27 Methods............................................................................................................................. ...

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