Stereo matching algorithm based on illumination normal similarity and adaptive support weight

Abstract

For the purpose of representing the feature of the gray image, illumination normal of pixels in a two-dimensional gray image plane is pro- posed, which can reflect the high-frequency information of the gray image. In order to get an accurate dense disparity map based on the adaptive support weight (ASW) approach in RGB vector space, a matching algo- rithm is proposed that combines the illumination normal similarity, gradient similarity, color similarity, and Euclidean distance similarity to compute the corresponding support weights and dissimilarity measurements. After test- ing by the Middlebury stereo benchmark, the result of the proposed algo- rithm shows more accurate disparity than many state-of-the-art stereo matching algorithms.