Stochastic view registration of overlapping cameras based on arbitrary motion

Zoltán Szlávik, Tamás Szirányi, László Havasi

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

A new motion-based method is presented for automatic registration of images in multicamera systems, to permit synthesis of wide-baseline composite views. Unlike existing static-image and motion-based methods, our approach does not need any a priori information about the scene, the appearance of objects in the scene, or their motion. We introduce an entropy-based preselection of motion histories and an iterative Bayesian assignment of corresponding image areas. Finally, correlated point-histories and data-set optimization lead to the matching of the different views. The method is validated by demonstrating its successful use on several real-life indoor and outdoor stereo video image-sequence pairs.

Original languageEnglish
Pages (from-to)710-720
Number of pages11
JournalIEEE Transactions on Image Processing
Volume16
Issue number3
DOIs
Publication statusPublished - Mar 1 2007

Keywords

  • Image registration
  • Stereo image processing
  • Video surveillance

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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