EFFECTIVE STEREO MATCHING METHODOLOGIES FOR STEREO VISION APPLICATION

Abstract

Stereo vision is the process of extracting 3D information from multiple 2D views of a scene. The 3D information can be obtained from a pair of images, also known as a stereo pair, by estimating the relative depth of points in the scene. These estimates are represented in a stereo disparity map, which is constructed by matching corresponding points in the stereo pair. Stereo images are rectified to simplify matching, so that a corresponding point in one image can be found in the same row in the other image. This reduces the 2D stereo correspondence problem to a 1D problem. Stereo image rectification is achieved by determining a set of matched interest points, estimating the fundamental matrix, and then deriving two projective transformations. Keywords: Stereo vision, 3D information, 2D views of a scene and 2D stereo correspondence problem