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Author:

Li, Xiuzhi (Li, Xiuzhi.) | Jia, Songmin (Jia, Songmin.) (Scholars:贾松敏) | Zhao, Xue (Zhao, Xue.)

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EI Scopus

Abstract:

How to tackle the difficulty involved in optical flow calculation caused by illumination inconsistency in adjacent video frames remains an open challenge. This motivates us to investigate how to obtain a valid and accurate optical flow field which is robust to illumination change based on structure-texture decomposition. In this paper, we attempt to reveal the involved technique details in this ROF model based image decomposition and carefully examine the improvement extent quantitatively by experiment. The advent of structure-texture decomposition for optical flow calculation is verified by experiment results. It is demonstrated from the comparison in the experiment that the accuracy of optical flow field estimated by TV-L1 model and structure-texture decomposition based method outperforms that obtained by pure TV-L1 model and TV-L1 and filter constancy based method. © 2012 IEEE.

Keyword:

Optical flows Biomimetics Image enhancement Flow fields Robotics Textures

Author Community:

  • [ 1 ] [Li, Xiuzhi]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 2 ] [Jia, Songmin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Zhao, Xue]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

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Source :

Year: 2012

Page: 360-365

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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