Fast correlation-based stereo matching with the reduction of systematic errors

نویسندگان

  • Sukjune Yoon
  • Sung-Kee Park
  • Sungchul Kang
  • Yoon Keun Kwak
چکیده

The purpose of this work is to develop a stereo matching algorithm that produces a dense disparity map for a real time vision system. Generally, correlation-based correspondence algorithms produce systematic errors at depth discontinuities, including half occluded areas, and require significant computational power. To solve these problems, we identify the properties of these areas containing matching errors and carry out an error compensation process with an effective implementation. 2005 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Pattern Recognition Letters

دوره 26  شماره 

صفحات  -

تاریخ انتشار 2005