Contrast Invariant and Affine sub-pixel Optical Flow

Neus Sabater, Sébastien Leprince, Jean Philippe Avouac

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents the Contrast Invariant and Affine Optical Flow (CIAO), a dense area-based sub-pixel image matching algorithm. CIAO does not force the estimated disparity field between two images to be smooth and allows for contrast and brightness changes. It is robust to drastic changes in the images' content thanks to an adaptive weighting of the neighboring pixels. In addition, the proposed model considers local affine displacements instead of simpler translations. CIAO proves particularly useful to extract high quality, high accuracy, and high density disparity maps from pairs of stereoscopic images. Comparative results with real and synthetic data are provided.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages53-56
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2012
Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
Duration: 30 Sep 20123 Oct 2012

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2012 19th IEEE International Conference on Image Processing, ICIP 2012
CountryUnited States
CityLake Buena Vista, FL
Period30/09/123/10/12

Keywords

  • affine and contrast invariant
  • Digital Elevation Model (DEM)
  • Optical flow
  • remote sensing
  • sub-pixel disparity

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