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Robust Optical Flow Estimation Using the Monocular Epipolar Geometry

  • Mahmoud A. MohamedEmail author
  • Bärbel Mertsching
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11754)

Abstract

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.

Keywords

Optical flow Epipolar geometry HOG descriptor Fundamental matrix Texture constraint 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.GET LabUniversity of PaderbornPaderbornGermany

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