Disparity estimation using a region-dividing technique and energy-based regularization

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

A two-stage algorithm is proposed for locating smooth and detailed disparity vector fields in a stereo image pair. The algorithm consists of hierarchical disparity estimation using a region-dividing technique and edge-preserving regularization. The hierarchical region-dividing disparity estimation increases the efficiency and reliability of the estimation process. At the second stage, the vector fields are regularized with an energy model that produces smooth fields while preserving discontinuities resulting from object boundaries. The minimization problem is addressed by solving a corresponding partial differential equation using a finite-difference method. Experiments show that the proposed algorithm provides accurate and spatially correlated dispartly vector fields in various types of stereo images, even in the case of images with large displacements.

Original languageEnglish
Pages (from-to)1882-1890
Number of pages9
JournalOptical Engineering
Volume43
Issue number8
DOIs
Publication statusPublished - 2004 Aug 1

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Fingerprint Dive into the research topics of 'Disparity estimation using a region-dividing technique and energy-based regularization'. Together they form a unique fingerprint.

  • Cite this