Fast template matching of repetitive objects in stereoscopy

Youval Nehmadi, Orly Kalantyrsky, Hugo Guterman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

One of the challenges of stereovision is to process images with repetitive objects. In order to calculate the distance to an object, matching of the corresponding points between two images must be done. When repetitive objects exist, matching is not straightforward. Many known stereo methods rely on a uniqueness constraint. A uniqueness constraint assumes that only one correct match exists between stereo images. Some algorithms ignore repetitive objects and omit them in the depth map. We present a method that does not employ a uniqueness constraint, but rather determines whether an object is repetitive and then solves the matching problem by finding a unique object that is in close proximity to the object.

Original languageEnglish
Title of host publicationICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods
Pages198-205
Number of pages8
StatePublished - 18 Jun 2012
Event1st International Conference on Pattern Recognition Applications and Methods, ICPRAM 2012 - Vilamoura, Algarve, Portugal
Duration: 6 Feb 20128 Feb 2012

Publication series

NameICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods
Volume2

Conference

Conference1st International Conference on Pattern Recognition Applications and Methods, ICPRAM 2012
Country/TerritoryPortugal
CityVilamoura, Algarve
Period6/02/128/02/12

Keywords

  • Image processing
  • Image registration
  • Stereo vision

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