关键词: 立体匹配, 自适应权重, Census变换, 线性分段

Abstract: Aiming at the limitation of low accuracy in the region where the depth is not continuous of the current Census transform stereo matching algorithm, a novel stereo matching algorithm for adaptive weight Census transform is proposed. An absolute value derived from the central pixel and its cross-mean is to determine the central gray valuein the stage of Census transform; With the purpose of making a difference with each pixel in the transform window, a method using linear segmentation to calculate the adaptive weight is used. The adaptive weight is also used in the stage of cost aggregation, the window size of that is determined by comparing the gradient value of the centerand itsleft and right two points. The experimental results show that the matching accuracy of the proposed algorithm is much better than the traditional Census algorithm, especially in the discontinuous depth region, the complexity of calculation and the difficulty of hardware implementation is not increased obviously.

Key words: stereo matching, adaptive weights, Census transform, linear segmentation