Optical flow using textures

M. A. Arredondo, K. Lebart, D. Lane

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)


Motion estimation is a key problem in the analysis of image sequences. From a sequence of images we can only estimate an approximation of the image motion field called optical flow. We propose to improve optical flow estimation by including information from images of textural features. We compute the optical flow from intensity and textural images from first-order derivatives, then combine estimates using the spatial gradient as confidence measure. Experimental results with images for which the ground-truth optical flow is known show clearly that the estimate improves by including estimates from textural images. Experiments with several underwater images also show a qualitative improvement. © 2003 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)449-457
Number of pages9
JournalPattern Recognition Letters
Issue number4
Publication statusPublished - Mar 2004


  • Assumption
  • Brightness constancy
  • Differential approach
  • Optical flow
  • Texture
  • Underwater images


Dive into the research topics of 'Optical flow using textures'. Together they form a unique fingerprint.

Cite this