Epiflow-A paradigm for tracking stereo correspondences

Hongsheng Zhang, Shahriar Negahdaripour

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

We propose the epiflow as a novel framework to integrate the motion and stereo epipolar geometries for the tracking of stereo matches. For a given stereo pair, spatio-temporal correspondences in the next stereo pair are established from the solution of an optimization problem that incorporates the epiflow geometrical constraint with the brightness constancy assumption as the photometric similarity measure. Two different implementations are proposed, each utilizing the stereo RANSAC algorithm as a mechanism to gain robustness and efficiency in handling large temporal disparity ranges, identify outliers and estimate the motion of the stereo rig as complementary information. The performance of the proposed methods is demonstrated in experiments with various complex underwater images, and comparison with results from the SIFT method allows the assessment of our novel contributions.

Original languageEnglish (US)
Pages (from-to)307-328
Number of pages22
JournalComputer Vision and Image Understanding
Volume111
Issue number3
DOIs
StatePublished - Sep 1 2008

Keywords

  • Epipolar geometry
  • Feature matching and tracking
  • Motion stereo
  • Stereo correspondences

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering

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