Fast Window Based Stereo Matching for 3D Scene Reconstruction
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.
stereo correspondence fuzzy filtering disparity window cost stereo vision 3d model