Fast Window Based Stereo Matching for 3D Scene Reconstruction

Mohammad Chowdhury and Mohammad Bhuiyan
Department of Computer Science and Engineering, Jahangirnagar University, Bangladesh

 

Abstract: Stereo correspondence matching is a key problem in many applications like computer and robotic vision to determine Three-Dimensional (3D) depth information of objects which is essential for 3D reconstruction. This paper presents a 3D reconstruction technique with a fast stereo correspondence matching which is robust in tackling additive noise. The additive noise is eliminated using a fuzzy filtering technique. Experimentations with ground truth images prove the effectiveness of the proposed algorithms.

Keywords: Stereo correspondence, disparity, window Cost, stereo vision, fuzzy filtering, 3D model.

 

Received   July 11, 2011; accepted December 20, 2011

  

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