Molnár, József and Csetverikov, Dmitrij and Fazekas, Sándor (2010) Illumination-robust variational optical flow using cross-correlation. Computer Vision and Image Understanding, 114 (10). pp. 1104-1114.

Text S1077314210001530.pdf - Published Version Restricted to Registered users only Download (1MB)

Abstract

We address the problem of variational optical flow for video processing applications that need fast operation and robustness to drastic variations in illumination. Recently, a solution [1] has been proposed based on the photometric invariants of the dichromatic reflection model [2]. However, this solution is only applicable to colour videos with brightness variations. Greyscale videos, or colour videos with colour illumination changes cannot be adequately handled. We propose two illumination-robust variational methods based on cross-correlation that are applicable to colour and grey-level sequences and robust to brightness and colour illumination changes. First, we present a general implicit nonlinear scheme that assumes no particular analytical form of energy functional and can accommodate different image components and data metrics, including cross-correlation. We test the nonlinear scheme on standard synthetic data with artificial brightness and colour effects added and conclude that cross-correlation is robust to both kinds of illumination changes. Then we derive a fast linearised numerical scheme for cross-correlation based variational optical flow. We test the linearised algorithm on challenging data and compare it to a number of state-of-the-art variational flow methods.

Item Type:	ISI Article
Uncontrolled Keywords:	Variational optical flow; Illumination-robustness; Cross-correlation
Subjects:	Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Depositing User:	Eszter Nagy
Date Deposited:	12 Dec 2012 08:38
Last Modified:	12 Dec 2012 08:38
URI:	https://eprints.sztaki.hu/id/eprint/6327

Update Item