High accuracy optical flow method based on a theory for warping: Implementation and qualitative/quantitative evaluation

7Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We describe the implementation of a 2D optical flow algorithm published in the European Conference on Computer Vision (ECCV 2004) by Brox et al. [1] (best paper award) and a qualitative and quantitative evaluation of it for a number of synthetic and real image sequences. Their optical flow method combines three assumptions: a brightness constancy assumption, a gradient constancy assumption and a spatio-temporal smoothness constraint. A numerical scheme based on fixed point iterations is used. Their method uses a coarse-to-fine warping strategy to measure larger optical flow vectors. We have investigated the algorithm in detail and our evaluation of the method demonstrates that it produces very accurate optical flow fields from only 2 input images. © Springer-Verlag Berlin Heidelberg 2007.

Cite

CITATION STYLE

APA

Faisal, M., & Barron, J. (2007). High accuracy optical flow method based on a theory for warping: Implementation and qualitative/quantitative evaluation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4633 LNCS, pp. 513–525). Springer Verlag. https://doi.org/10.1007/978-3-540-74260-9_46

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free