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A method combining active stereo with global matching algorithm for accurate depth extraction

  • Manqing Lin
  • , Rongke Liu
  • , Yu Pan
  • , Qiuchen Du
  • , Peijuan Chen

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

Abstract

In the field of computer vision, stereo is one of the most popular approaches for depth acquisition. In order to reduce mismatching caused by less-textured scene, active stereo vision has been frequently employed. To the best of our knowledge, active method is usually used in local stereo matching, but it is rarely available in the global matching. As for the stereo, global matching possesses many advantages compared with local matching, such as high quality results, strong resistance of interference and occlusion. This paper proposes a new method for extracting depth images with higher accuracy and better quality by combining active stereo vision with graph-cuts-based global matching algorithm. We demonstrate the theoretical basis of the combination and present the strengths of our method. An improved algorithm based on projection features of active stereo vision for the coefficients of smooth item is also proposed in this paper. We experimentally demonstrate the effectiveness of our approach.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Internet Multimedia Computing and Service, ICIMCS 2016
PublisherAssociation for Computing Machinery
Pages328-333
Number of pages6
ISBN (Electronic)9781450348508
DOIs
StatePublished - 19 Aug 2016
Event8th International Conference on Internet Multimedia Computing and Service, ICIMCS 2016 - Xi'an, China
Duration: 19 Aug 201621 Aug 2016

Publication series

NameACM International Conference Proceeding Series
Volume19-21-August-2016

Conference

Conference8th International Conference on Internet Multimedia Computing and Service, ICIMCS 2016
Country/TerritoryChina
CityXi'an
Period19/08/1621/08/16

Keywords

  • Active Stereo
  • Computer Vision
  • Global Matching
  • Graph-Cuts
  • Projection Features

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