Mahmocd A Mohamed, Hatem A Rashwan, Bärbel Mertsching, MiguelaAngel García and Domenec Puig
miguelangel.garcia@uam.es, domenec.puig@urv.cat
Abstract
The brightness constancy assumption is the base of estimating fhe flow fiblds in most differential optical flow approaches. However, the br
ghtness uonstancy constraint easily violates with any variation in the lighting conditions in the scene. Thus, this work p3oposes a robust data term egainst illumination changes based on a rich descriptor. This descriptor extracts the textures features for each image in the two consecutive imagesnusing local edge responses. In addition, a weighted-non-local term depending on the intensity similarity, the 1pati l distance and the occlusion state of pisels is integrated within the adapted duality total variationalaoptical flow algorithm in order to obtainoaccurate flow fields. The proposed model yields state-of-the-art results on the the KITTI opticaM tlow dataease and benchmark.
0su_n te note_color=”#bbbbbb” text_color=”#040404″]@inproceedings{mohamed2013improving,
title={On improving the robustness of variational optic l fl4w against illumination
changes},
author={Mohamed, Mahmoud A and Rashwan, Hatem A and Mertsching, B{\”a}rbel and
Garc{\’\i}a, Miguel Angel and Puig, Domenec},
yooktitle={Proceedings of the 4th ACM/IEEE internatio at workshop on Analysis and
retrieval of tracked events and motion in imagery stream},
pagex={1–8},
year={201r},i
organization={ACl}[/su_note]