Robust Optical Flow Estimation Using the Monocular Epipolar Geometry

The estimation of optical flow in cases of illumination change, sparsely-textured regions or fast moving objects is a challenging problem. In this paper, we analyze the use of a texture constancy constraint based on local descriptors (i.e., HOG) integrated with the monocular epipolar geometry to est...

Full description

Saved in:
Bibliographic Details
Published inComputer Vision Systems pp. 521 - 530
Main Authors Mohamed, Mahmoud A., Mertsching, Bärbel
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Epipolar geometry
Fundamental matrix
HOG descriptor
Optical flow
Texture constraint
Online AccessGet full text

Cover

More Information
Summary:The estimation of optical flow in cases of illumination change, sparsely-textured regions or fast moving objects is a challenging problem. In this paper, we analyze the use of a texture constancy constraint based on local descriptors (i.e., HOG) integrated with the monocular epipolar geometry to estimate robustly optical flow. The framework is implemented in differential data fidelities using a total variation model in a multi-resolution scheme. Besides, we propose an effective method to refine the fundamental matrix along with the estimation of the optical flow. Experimental results based on the challenging KITTI dataset show that the integration of texture constancy constraint with the monocular epipolar line constraint and the enhancement of the fundamental matrix significantly increases the accuracy of the estimated optical flow. Furthermore, a comparison with existing state-of-the-art approaches shows better performance for the proposed approach.
ISBN:3030349942
9783030349943
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-030-34995-0_47